From f8b21af4be9691a0c1cd2e45808f251434e6097a Mon Sep 17 00:00:00 2001 From: Antigravity Agent Date: Wed, 20 May 2026 23:52:15 +0900 Subject: [PATCH] Wiki cleanup: error-doc removal, dedup merge, link normalization MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 10_Wiki/Topics 대규모 정리: - 오류 캡처/미완성 stub 문서 227개 제거 - 교차폴더 중복 43클러스터 병합 (63파일 → redirect) - 링크명 정규화: 깨진 링크 수정·redirect 직결·개념 매핑 ~2,400건 - 카테고리 MOC 6개 신규 생성 - Graph 섹션 미해결 related-keyword 링크 10,058건 제거 Co-Authored-By: Claude Opus 4.7 (1M context) --- .DS_Store | Bin 8196 -> 10244 bytes .astra/project-context/architecture.md | 56 ++ .astra/project-context/scan-cache.json | 41 + 10_Wiki/.DS_Store | Bin 6148 -> 10244 bytes 10_Wiki/Topics/.DS_Store | Bin 0 -> 24580 bytes 10_Wiki/Topics/.obsidian/graph.json | 2 +- 10_Wiki/Topics/.obsidian/workspace.json | 36 +- 10_Wiki/Topics/4X_Strategy.md | 5 +- 10_Wiki/Topics/AI_Safety_and_Alignment.md | 152 +--- 10_Wiki/Topics/AI_Sampling_Strategies.md | 7 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b/.astra/project-context/architecture.md @@ -0,0 +1,56 @@ +# Wiki — Project Architecture Context + +> Auto-managed sections (between the AUTO markers) are rewritten by Astra on every refresh. +> The rest below is yours — Astra never touches it once this file exists. + + + +## Snapshot +- **Workspace**: `Wiki` _(absolute path varies by environment; resolved from the active VS Code workspace)_ +- **Stack**: _(unknown)_ +- **Stats**: 5 source files, ~96 lines across 1 top-level modules. + +## Last Refresh +- **Time**: 2026-05-20T14:48:25.240Z +- **Files newly analysed**: 5 +- **Files reused from cache**: 0 + +## Directory Map +```mermaid +mindmap + root((Wiki)) + docs/ + records/ +``` + +## Modules + +### `docs/` — 5 files, ~96 lines + +**Sub-directories** +- `docs/records/` (5) — Wiki Chronicle Records + +**Key files** +- `docs/records/Wiki/README.md` (18 lines) — Wiki Chronicle Records +- `docs/records/Wiki/chronicle.config.json` (11 lines) — JSON configuration +- `docs/records/Wiki/development/2026-05-07_volumes-data-project-antigravity-wiki-여기는-내-지식-창고야-내용에-대한-평가_implementation.md` (29 lines) — Development Log: /Volumes/Data/project/Antigravity/Wiki 여기는 내 지식 창고야. 내용에 대한 평가해줘. +- `docs/records/Wiki/project-profile.md` (31 lines) — Project Profile +- `docs/records/Wiki/timeline.md` (7 lines) — Project Timeline + +_Last auto-scan: 2026-05-20T14:48:25.240Z · signature `f5e5c8af`_ + + +## Purpose +_TODO: 이 프로젝트가 해결하려는 문제를 1–3문장으로._ + +## Key Workflows +_TODO: 사용자/시스템의 주요 흐름 (예: 입력 → context assembly → model 호출 → action)._ + +## Current Constraints +_TODO: 의도된 제약 (local-first, offline, 특정 API 의존 등)._ + +## Known Risks +_TODO: 알려진 위험/디버깅 함정._ + +## Active Decisions +_TODO: 살아 있는 ADR/원칙 (e.g. "기록은 markdown으로", "agent별 model override 우선")._ diff --git a/.astra/project-context/scan-cache.json b/.astra/project-context/scan-cache.json new file mode 100644 index 00000000..471694df --- /dev/null +++ b/.astra/project-context/scan-cache.json @@ -0,0 +1,41 @@ 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"file": "AI_and_ML/The Evolution of Music Distribution.md", - "mode": "source", - "source": false - }, - "icon": "lucide-file", - "title": "The Evolution of Music Distribution" + "type": "graph", + "state": {}, + "icon": "lucide-git-fork", + "title": "그래프 뷰" } } ] @@ -196,10 +192,20 @@ }, "active": "49ae5a843bcdef44", "lastOpenFiles": [ - "AI_and_ML/AI for Social Good.md", + "무제 3.canvas", "무제 2.canvas", + "Special-Education.md", + "Topics.md", + "Graphics & Performance.md", + "ComfyUI.md", + "창의성.md", + "DevOps.md", + "Architecture.md", + "Yoast.md", "무제 1.canvas", "무제.canvas", + "AI_and_ML/The Evolution of Music Distribution.md", + "AI_and_ML/AI for Social Good.md", "Green-Check-Mark-Syndrome.md", "_company/00_Raw/conversations/2026-05-10.md", "AI_and_ML/Brain-Computer_Interface_(BCI).md", @@ -224,16 +230,6 @@ "UI_UX_Assets/Design & Experience/Computational-Fluid-Dynamics.md", "Coding/Frontend_Vue3_Svelte5_Patterns.md", "Coding/Backend_gRPC_Streaming_Deep.md", - "Coding/Frontend_A11y_Modern.md", - "Coding/AI_Fine_Tune_Practical.md", - "Coding/Productivity_Onboarding_Process.md", - "Coding/AI_Code_Agent_Patterns.md", - "Coding/Backend_Cron_Workflows_Inngest.md", - "Coding/Android_Compose_Performance.md", - "Coding/iOS_Swift_Macros_Deep.md", - "Coding/AI_Vision_Multimodal_Production.md", - "Coding/Backend_WebSocket_Production.md", - "Coding/Frontend_Solid_Qwik_Deep.md", - "Coding/Frontend_Astro_Islands_Deep.md" + "Coding/Frontend_A11y_Modern.md" ] } \ No newline at end of file diff --git a/10_Wiki/Topics/4X_Strategy.md b/10_Wiki/Topics/4X_Strategy.md index a66769f6..8297faa9 100644 --- a/10_Wiki/Topics/4X_Strategy.md +++ b/10_Wiki/Topics/4X_Strategy.md @@ -137,10 +137,7 @@ class Diplomat: **기본값**: 매 explore-first, 매 expand-until-economy-saturates, 매 specialize. ## 🔗 Graph -- 부모: [[Strategy Games]] · [[Game AI]] -- 변형: [[Grand Strategy]] · [[RTS]] · [[Eurogame]] -- 응용: [[MCTS]] · [[Multi-Agent RL]] · [[Game Theory]] -- Adjacent: [[Civilization]] · [[Stellaris]] · [[Tech Tree Design]] +- 응용: [[MCTS]] ## 🤖 LLM 활용 **언제**: 매 narrative event generation, flavor text, 매 dynamic dialogue with diplomats. diff --git a/10_Wiki/Topics/AI_Safety_and_Alignment.md b/10_Wiki/Topics/AI_Safety_and_Alignment.md index 898b74d7..35905046 100644 --- a/10_Wiki/Topics/AI_Safety_and_Alignment.md +++ b/10_Wiki/Topics/AI_Safety_and_Alignment.md @@ -2,156 +2,26 @@ id: wiki-2026-0508-ai-safety-and-alignment title: AI Safety and Alignment category: 10_Wiki/Topics -status: verified -canonical_id: self -aliases: [AI Alignment, AI Safety] -duplicate_of: none +status: duplicate +canonical_id: wiki-2026-0509-ai-safety-and-alignment +duplicate_of: "[[AI Safety and Alignment]]" +aliases: [] source_trust_level: A confidence_score: 0.9 -verification_status: applied -tags: [ai-safety, alignment, rlhf, constitutional-ai] -raw_sources: [] -last_reinforced: 2026-05-10 +verification_status: redirected +tags: [duplicate] +last_reinforced: 2026-05-20 github_commit: pending -tech_stack: - language: python - framework: trl/transformers --- # AI Safety and Alignment -## 매 한 줄 -> **"매 capable model 의 intended behavior 의 reliable production — 매 outer + inner alignment."** 매 RLHF (InstructGPT 2022) 로 시작 의 mainstream — 매 Constitutional AI (Anthropic 2022), DPO (2023), RLAIF (2023), 매 2026 에 deliberative alignment + interpretability-aware training 의 frontier. - -## 매 핵심 - -### 매 alignment problem 분해 -- **Outer alignment**: 매 specified objective ≈ true human intent — 매 reward hacking, Goodhart's law. -- **Inner alignment**: 매 trained policy 의 specified objective 의 optimization — 매 mesa-optimization, deceptive alignment. -- **Scalable oversight**: 매 super-human capability 의 supervision — 매 debate, recursive reward modeling, weak-to-strong. - -### 매 techniques (2026 stack) -- **RLHF**: PPO on reward model from preferences. -- **DPO / IPO / KTO**: 매 reward-model-free preference optimization. -- **Constitutional AI**: 매 written principles → self-critique → RLAIF. -- **Deliberative alignment** (OpenAI o-series, Claude 4.x): 매 reasoning trace 의 spec lookup. -- **Interpretability**: SAEs, circuits — 매 feature steering. - -### 매 응용 -1. Refusal of harmful requests + helpful behavior on benign edge cases. -2. Policy compliance (privacy, copyright, weapons). -3. Honesty / calibration. - -## 💻 패턴 - -### Reward model training (Bradley-Terry) -```python -import torch -import torch.nn.functional as F - -def bt_loss(reward_chosen, reward_rejected): - # P(chosen > rejected) = sigmoid(r_c - r_r) - return -F.logsigmoid(reward_chosen - reward_rejected).mean() - -# Forward -r_c = model(chosen_ids).logits[:, -1, 0] -r_r = model(rejected_ids).logits[:, -1, 0] -loss = bt_loss(r_c, r_r) -``` - -### DPO loss -```python -def dpo_loss(pi_logp_c, pi_logp_r, ref_logp_c, ref_logp_r, beta=0.1): - # Direct preference optimization - chosen = beta * (pi_logp_c - ref_logp_c) - rejected = beta * (pi_logp_r - ref_logp_r) - return -F.logsigmoid(chosen - rejected).mean() -``` - -### Constitutional self-critique -```python -def constitutional_revise(prompt, response, principles, llm): - critique = llm(f""" - Principles: {principles} - Prompt: {prompt} - Response: {response} - Critique the response against the principles. - """) - revised = llm(f""" - Original: {response} - Critique: {critique} - Revise the response to address the critique. - """) - return revised -``` - -### SAE feature steering (interpretability) -```python -# Sparse autoencoder feature ablation -def steer(activations, sae, feature_idx, scale): - z = sae.encode(activations) - z[:, feature_idx] *= scale # 0 = ablate, >1 = amplify - return sae.decode(z) - -# Hook on residual stream -hook = lambda x: steer(x, sae, refusal_feature_idx, scale=0.0) -``` - -### Best-of-N with RM -```python -def best_of_n(prompt, policy, rm, n=64): - samples = [policy.sample(prompt) for _ in range(n)] - scores = [rm.score(prompt, s) for s in samples] - return samples[int(torch.tensor(scores).argmax())] -``` - -### Red-team probe -```python -def red_team_eval(model, attacks): - results = [] - for attack in attacks: - out = model.generate(attack.prompt) - results.append({ - "attack": attack.name, - "harmful": classify_harm(out), - "refused": "I can't" in out or "I cannot" in out, - }) - return results -``` - -## 매 결정 기준 -| 상황 | Approach | -|---|---| -| Limited compute | DPO over PPO-RLHF | -| Need transparent specs | Constitutional AI | -| Frontier model | Deliberative alignment + scalable oversight | -| Behavior debugging | SAE feature steering | -| Pre-deployment | Red-team + capability evals | - -**기본값**: 매 SFT → DPO → eval → iterate. 매 PPO 의 only-when-needed. +> **이 문서는 [[AI Safety and Alignment]] 의 중복본입니다.** Canonical 문서로 redirect. ## 🔗 Graph -- 부모: [[Machine Learning]] · [[AI Ethics]] -- 변형: [[RLHF]] · [[DPO]] · [[Constitutional AI]] · [[RLAIF]] -- 응용: [[Claude]] · [[GPT-5]] · [[Llama Guard]] -- Adjacent: [[Mechanistic Interpretability]] · [[Red Teaming]] · [[AI Governance]] +- 부모: [[AI Safety and Alignment]] (canonical) -## 🤖 LLM 활용 -**언제**: 매 production deployment 전 의 alignment pipeline (SFT + preference training + evals). -**언제 X**: 매 pure capability research, 매 internal-only sandbox. - -## ❌ 안티패턴 -- **Reward hacking**: 매 proxy metric 의 over-optimization — 매 KL penalty, eval diversity. -- **Sycophancy**: 매 user agreement 의 over-reward — 매 truthfulness 의 explicit reward. -- **Over-refusal**: 매 false-positive harmful detection — 매 helpfulness eval 의 balance. -- **Single-axis eval**: 매 only safety, no capability — 매 Pareto frontier. - -## 🧪 검증 / 중복 -- Verified (Anthropic Constitutional AI paper, OpenAI InstructGPT, Rafailov et al. DPO 2023). -- 신뢰도 A. - -## 🕓 Changelog +## 🕓 변경 이력 | 날짜 | 변경 | |---|---| -| 2026-05-08 | Phase 1 | -| 2026-05-10 | Manual cleanup — alignment stack with code patterns | +| 2026-05-20 | 중복 병합 — canonical 문서로 redirect | diff --git a/10_Wiki/Topics/AI_Sampling_Strategies.md b/10_Wiki/Topics/AI_Sampling_Strategies.md index 40a29dbf..2af0def5 100644 --- a/10_Wiki/Topics/AI_Sampling_Strategies.md +++ b/10_Wiki/Topics/AI_Sampling_Strategies.md @@ -145,10 +145,9 @@ def apply_repetition_penalty(logits, generated_ids, penalty=1.1): **기본값**: 매 T=0.7 + min-p=0.05. ## 🔗 Graph -- 부모: [[LLM Inference]] · [[Decoding]] -- 변형: [[Beam Search]] · [[Nucleus Sampling]] · [[Mirostat]] -- 응용: [[Self-Consistency]] · [[Speculative Decoding]] · [[CoT]] -- Adjacent: [[vLLM]] · [[Temperature]] · [[Repetition Penalty]] +- 부모: [[Decoding]] +- 응용: [[Self-Consistency]] +- Adjacent: [[LLM_Optimization_and_Deployment_Strategies|vLLM]] ## 🤖 LLM 활용 **언제**: 매 inference pipeline 의 every call — 매 task 의 sampler 의 match. diff --git a/10_Wiki/Topics/AI_and_ML/2014 Combat Controls Update.md b/10_Wiki/Topics/AI_and_ML/2014 Combat Controls Update.md index 883cac9b..3766c242 100644 --- a/10_Wiki/Topics/AI_and_ML/2014 Combat Controls Update.md +++ b/10_Wiki/Topics/AI_and_ML/2014 Combat Controls Update.md @@ -341,11 +341,10 @@ public class TutorialHint : MonoBehaviour { - **AI 의 stance vs player 의 stance**: 매 player 의 strategic exploit. ## 🔗 지식 연결 (Graph) -- 부모: [[Game-Design-RTS]] · [[Combat-AI]] · [[Unit-Control]] -- 변형: [[StarCraft-Micro]] · [[MOBA-Last-Hit]] · [[Auto-Battler]] -- 응용: [[AI-Exploitation-Game]] · [[Baiting-Tactics]] · [[Defensive-Design]] -- 게임: [[War-Commander]] · [[Battle-Pirates]] · [[VEGA-Conflict]] · [[Kixeye]] -- Adjacent: [[FSM-Game-AI]] · [[Behavior-Tree]] · [[Hotkey-Design]] · [[Player-Skill-Expression]] +- 변형: [[StarCraft-Micro]] +- 응용: [[Baiting-Tactics]] +- 게임: [[War-Commander]] · [[Kixeye]] +- Adjacent: [[Behavior-Tree]] ## 🤖 LLM 활용 힌트 (How to Use This Knowledge) diff --git a/10_Wiki/Topics/AI_and_ML/2026년 BCG 글로벌 게이밍 설문조사.md b/10_Wiki/Topics/AI_and_ML/2026년 BCG 글로벌 게이밍 설문조사.md index 4124cf12..3a381e56 100644 --- a/10_Wiki/Topics/AI_and_ML/2026년 BCG 글로벌 게이밍 설문조사.md +++ b/10_Wiki/Topics/AI_and_ML/2026년 BCG 글로벌 게이밍 설문조사.md @@ -187,10 +187,9 @@ github_commit: pending **기본값**: Cross-platform + AI-augmented + UGC-friendly + 매 region 의 strategy. ## 🔗 Graph -- 부모: [[Game-Industry]] · [[Market-Research]] · [[Game-Monetization]] -- 변형: [[Cloud-Gaming]] · [[UGC-Games]] · [[Generative-AI-Games]] -- 응용: [[Cross-Platform-Release]] · [[Subscription-Gaming]] · [[Creator-Economy]] -- Adjacent: [[Apple-App-Store-Antitrust]] · [[DMA-Digital-Markets-Act]] · [[Roblox]] · [[Minecraft]] +- 부모: [[Game-Monetization]] +- 변형: [[Cloud-Gaming]] +- Adjacent: [[Roblox]] · [[Minecraft]] ## 🤖 LLM 활용 **언제**: 매 game studio 의 strategic plan. 매 monetization 의 design. 매 platform 결정. diff --git a/10_Wiki/Topics/AI_and_ML/2026년 인공지능 시각 언어 생성 패러다임 전환 및 연속적 창작 워크플로우.md b/10_Wiki/Topics/AI_and_ML/2026년 인공지능 시각 언어 생성 패러다임 전환 및 연속적 창작 워크플로우.md index b5805a46..4011a629 100644 --- a/10_Wiki/Topics/AI_and_ML/2026년 인공지능 시각 언어 생성 패러다임 전환 및 연속적 창작 워크플로우.md +++ b/10_Wiki/Topics/AI_and_ML/2026년 인공지능 시각 언어 생성 패러다임 전환 및 연속적 창작 워크플로우.md @@ -247,11 +247,9 @@ def cost_aware_batch(prompts, target='exploration'): **기본값**: 5-layer prompt + draft mode + reference + post-edit + upscale 의 sequence. ## 🔗 Graph -- 부모: [[AI-Image-Generation]] · [[Creative-Workflow]] · [[Visual-AI]] -- 변형: [[Draft-Mode]] · [[Omni-Reference]] · [[Continuous-Refinement]] -- 응용: [[Brand-Campaign-AI]] · [[Game-Asset-Generation]] · [[Concept-Art]] -- Tools: [[Midjourney-V7]] · [[Flux]] · [[Sora-OpenAI]] · [[Veo-Google]] · [[Magnific]] -- Adjacent: [[Photography-Vocabulary]] · [[Lighting-Science]] · [[Color-Theory]] +- 부모: [[AI 이미지 생성 (AI Image Generation)]] +- 변형: [[Draft-Mode]] · [[Omni-Reference]] +- Tools: [[Midjourney-V7]] · [[Flux]] ## 🤖 LLM 활용 **언제**: 매 commercial creative project. 매 visual brand. @@ -267,7 +265,7 @@ def cost_aware_batch(prompts, target='exploration'): ## 🧪 검증 / 중복 - Verified. - 신뢰도 B. -- Overlap with [[AI-Image-Generation]] / [[Post-editing-Tools]] / [[Image-Workflow]]. +- Overlap with [[AI 이미지 생성 (AI Image Generation)]] / [[AI 모델 사후 편집 도구 (Post-editing Tools)|Post-editing-Tools]] / [[Image-Workflow]]. ## 🕓 Changelog | 날짜 | 변경 | diff --git a/10_Wiki/Topics/AI_and_ML/20k skinned instances demo.md b/10_Wiki/Topics/AI_and_ML/20k skinned instances demo.md index 365815d0..ba443069 100644 --- a/10_Wiki/Topics/AI_and_ML/20k skinned instances demo.md +++ b/10_Wiki/Topics/AI_and_ML/20k skinned instances demo.md @@ -254,9 +254,9 @@ console.log({ ## 🔗 Graph - 부모: [[Three-js-Performance]] · [[Skinned-Mesh]] · [[Instancing]] -- 변형: [[InstancedMesh2-agargaro]] · [[BatchedMesh]] -- 응용: [[Crowd-Simulation]] · [[Open-World-Rendering]] · [[Metaverse]] -- 기술: [[GPU-Skinning]] · [[Frustum-Culling]] · [[Level-of-Detail]] · [[Bone-Texture]] +- 변형: [[BatchedMesh]] +- 응용: [[Crowd-Simulation]] +- 기술: [[GPU-Skinning]] · [[Frustum-Culling]] · [[Level-of-Detail]] ## 🤖 LLM 활용 **언제**: 매 large character scene 의 design. 매 mobile / web 3D 의 performance. diff --git a/10_Wiki/Topics/AI_and_ML/3D Gaussian Splatting (3DGS).md b/10_Wiki/Topics/AI_and_ML/3D Gaussian Splatting (3DGS).md index 8a3ad946..8eac082b 100644 --- a/10_Wiki/Topics/AI_and_ML/3D Gaussian Splatting (3DGS).md +++ b/10_Wiki/Topics/AI_and_ML/3D Gaussian Splatting (3DGS).md @@ -224,10 +224,7 @@ viewer.addSplatScene('./scene.ply').then(() => { - **Mobile performance**: 매 platform 의 GPU 차이. iPhone 가 OK, low-end Android 가 부족. ## 🔗 지식 연결 (Graph) -- 부모: [[Neural-Rendering]] · [[Novel-View-Synthesis]] · [[Differentiable-Rendering]] -- 변형: [[NeRF-Neural-Radiance-Fields]] · [[4D-Gaussian-Splatting]] · [[Dynamic-3DGS]] -- 응용: [[VR-AR-Reconstruction]] · [[Photogrammetry]] · [[Self-Driving-Simulation]] · [[Cultural-Heritage-3D]] -- Adjacent: [[Spherical-Harmonics]] · [[COLMAP-SfM]] · [[Point-Cloud]] · [[Mesh-Reconstruction]] +- Adjacent: [[Point-Cloud]] - Tools: gsplat · NeRF Studio · Brush · Splatfacto · Polycam · Luma AI - Web: [[WebGPU]] · [[WebGL]] · [[Three.js]] · [[Babylon.js]] diff --git a/10_Wiki/Topics/AI_and_ML/ABA.md b/10_Wiki/Topics/AI_and_ML/ABA.md index 5fdeb5b9..2f88f344 100644 --- a/10_Wiki/Topics/AI_and_ML/ABA.md +++ b/10_Wiki/Topics/AI_and_ML/ABA.md @@ -255,12 +255,10 @@ def reward(state, action, next_state): - **Game design 의 ethics**: addiction-like design 의 윤리 / 법적 risk. ## 🔗 지식 연결 (Graph) -- 부모: [[Behaviorism]] · [[Skinner-Operant-Conditioning]] · [[Learning-Theory]] -- 변형: [[Discrete-Trial-Training]] · [[Pivotal-Response-Training]] · [[Verbal-Behavior]] -- 응용: [[Habit-Formation]] · [[Atomic-Habits-Clear]] · [[Tiny-Habits-Fogg]] · [[Game-Reward-Design]] · [[RL-Reward-Shaping]] -- AI: [[RLHF-Human-Feedback]] · [[Reward-Hacking]] · [[Actor-Critic-Models]] -- Game: [[Variable-Reward-Schedule]] · [[Loot-Box-Mechanics]] · [[Skinner-Box]] · [[Token-Economy]] -- 비판: [[Autistic-Advocacy]] · [[Overjustification-Effect]] · [[Intrinsic-Motivation]] +- 응용: [[Habit-Formation]] +- AI: [[Actor-Critic-Models]] +- Game: [[Loot-Box-Mechanics]] +- 비판: [[Intrinsic-Motivation]] - Adjacent: [[Addiction-Neuroscience]] · [[Dopamine-Pathway]] · [[Behavioral-Economics]] · [[Nudge-Theory]] ## 🤖 LLM 활용 힌트 (How to Use This Knowledge) diff --git a/10_Wiki/Topics/AI_and_ML/ACI.md b/10_Wiki/Topics/AI_and_ML/ACI.md index bac22bad..2bbd9e88 100644 --- a/10_Wiki/Topics/AI_and_ML/ACI.md +++ b/10_Wiki/Topics/AI_and_ML/ACI.md @@ -376,10 +376,8 @@ function isAllowed(tool: string, args: any): boolean { - **Vision (browser screenshot) vs DOM**: Vision 가 robust 가, expensive. DOM tree 가 cheap 가, brittle. ## 🔗 지식 연결 (Graph) -- 부모: [[Agent-Architecture]] · [[Tool-Use-Function-Calling]] · [[Prompt-Engineering]] -- 변형: [[MCP-Model-Context-Protocol]] · [[OpenAI-Function-Calling]] · [[ReAct-Pattern]] -- 응용: [[SWE-Agent-Princeton]] · [[Devin-Cognition]] · [[Cursor-Workflow-Patterns]] · [[Claude-Code]] · [[OpenAI-Operator]] -- Adjacent: [[Context-Engineering]] · [[Token-Budget-Patterns]] · [[Agent-Sandbox-E2B]] · [[Browser-Agent-Patterns]] +- 부모: [[Agent-Architecture]] · [[Tool-Use-Function-Calling]] · [[Prompt_Engineering|Prompt-Engineering]] +- 응용: [[Claude-Code]] - Related: [[AI-Tool-Composition-Deep]] · [[AI-Anthropic-Skills-Patterns]] · [[AI-Multi-Agent-Coordination]] ## 🤖 LLM 활용 힌트 (How to Use This Knowledge) diff --git a/10_Wiki/Topics/AI_and_ML/ADR-0001-project-chronicle-independent-module.md b/10_Wiki/Topics/AI_and_ML/ADR-0001-project-chronicle-independent-module.md index 647268a4..88d9ebed 100644 --- a/10_Wiki/Topics/AI_and_ML/ADR-0001-project-chronicle-independent-module.md +++ b/10_Wiki/Topics/AI_and_ML/ADR-0001-project-chronicle-independent-module.md @@ -145,8 +145,6 @@ export function activate(context: vscode.ExtensionContext) { ## 🔗 지식 연결 (Graph) - 부모: [[ADR-Architecture-Decision-Record]] · [[Modular-Design]] · [[Separation-of-Concerns]] -- 응용: [[Hexagonal-Clean]] · [[DDD-Bounded-Context]] · [[Module-Boundaries]] -- Project: [[Antigravity-Project]] · [[ConnectAI-LLM-Tool]] ## 🤖 LLM 활용 힌트 **언제 사용**: 매 새 feature 의 architecture 의 결정. 매 modular boundary 의 example. diff --git a/10_Wiki/Topics/AI_and_ML/AI & Data Sovereignty.md b/10_Wiki/Topics/AI_and_ML/AI & Data Sovereignty.md index 090896be..5861d5b9 100644 --- a/10_Wiki/Topics/AI_and_ML/AI & Data Sovereignty.md +++ b/10_Wiki/Topics/AI_and_ML/AI & Data Sovereignty.md @@ -398,13 +398,12 @@ async function auditDataAccess(user: User, data: any, action: string) { - **개인 vs 국가 sovereignty 의 tension**: 매 government access (China, etc.). ## 🔗 지식 연결 (Graph) -- 부모: [[Privacy]] · [[Data-Governance]] · [[AI-Ethics]] -- 변형: [[GDPR-Compliance]] · [[Data-Localization]] · [[Sovereign-Cloud]] · [[Sovereign-AI]] -- 기술: [[Federated-Learning]] · [[Differential-Privacy]] · [[Homomorphic-Encryption]] · [[Confidential-Computing]] · [[Secure-MPC]] -- 비판: [[Data-Colonialism]] · [[Big-Tech-Power]] · [[Digital-Imperialism]] -- 응용: [[AI-Governance-Policy]] · [[AI-Accountability]] · [[Privacy-by-Design]] -- 정책: [[Schrems-II]] · [[EU-AI-Act]] · [[China-PIPL]] · [[GAIA-X]] -- AI sovereign: [[Mistral-AI]] · [[HyperCLOVA-X]] · [[Yi-Qwen-China]] · [[Falcon-UAE]] +- 부모: [[Privacy]] · [[AI-Ethics]] +- 변형: [[GDPR-Compliance]] · [[Data-Localization]] · [[Sovereign-Cloud]] +- 기술: [[Federated-Learning]] · [[Differential-Privacy]] · [[Homomorphic-Encryption]] +- 비판: [[Data-Colonialism]] +- 응용: [[AI 거버넌스 정책(AI Usage Policy)|AI-Governance-Policy]] · [[AI-Accountability]] +- 정책: [[EU-AI-Act]] ## 🤖 LLM 활용 힌트 (How to Use This Knowledge) @@ -435,7 +434,7 @@ async function auditDataAccess(user: User, data: any, action: string) { - **검토 이유:** Manual cleanup. Active regulation. 매 6 month review. ## 🧬 중복 검사 (Duplicate Check) -- **기존 유사 문서:** [[AI-Governance-Policy]] (related), [[Privacy]] (parent), [[AI-Accountability]] (related). +- **기존 유사 문서:** [[AI 거버넌스 정책(AI Usage Policy)|AI-Governance-Policy]] (related), [[Privacy]] (parent), [[AI-Accountability]] (related). - **처리 방식:** KEEP (sovereignty 의 specific lens). - **처리 이유:** Geopolitical + technical 의 intersection. diff --git a/10_Wiki/Topics/AI_and_ML/AI Accountability.md b/10_Wiki/Topics/AI_and_ML/AI Accountability.md index f1e1c754..736e3bbc 100644 --- a/10_Wiki/Topics/AI_and_ML/AI Accountability.md +++ b/10_Wiki/Topics/AI_and_ML/AI Accountability.md @@ -358,12 +358,11 @@ def predict(features): - **Cross-border**: 매 country 의 different regulation. AI 의 global → fragmented. ## 🔗 지식 연결 (Graph) -- 부모: [[AI-Ethics]] · [[AI-Governance-Policy]] · [[Algorithmic-Fairness]] -- 변형: [[Explainable-AI-XAI]] · [[Model-Card]] · [[Datasheets-for-Datasets]] · [[Bias-Audit]] -- 응용: [[EU-AI-Act-Compliance]] · [[GDPR-Article-22]] · [[NYC-Local-Law-144]] · [[FDA-AI-SaMD]] -- 기술: [[SHAP-Interpretability]] · [[LIME]] · [[Counterfactual-Explanation]] · [[DVC-MLflow-Versioning]] -- Adjacent: [[AI-Liability]] · [[Responsibility-Gap]] · [[Human-in-the-Loop]] · [[Right-to-Explanation]] -- 응용: [[MLOps-Model-Monitoring]] · [[Continuous-Learning-System]] · [[AI-Audit-Log]] +- 부모: [[AI-Ethics]] · [[AI 거버넌스 정책(AI Usage Policy)|AI-Governance-Policy]] · [[Algorithmic-Fairness]] +- 변형: [[Explainable-AI-XAI]] · [[Model-Card]] +- 기술: [[LIME]] +- Adjacent: [[Responsibility-Gap]] · [[Human-in-the-Loop]] +- 응용: [[MLOps-Model-Monitoring]] ## 🤖 LLM 활용 힌트 (How to Use This Knowledge) @@ -396,7 +395,7 @@ def predict(features): - **검토 이유:** Manual cleanup. Active research / regulation. 매 6 month review. ## 🧬 중복 검사 (Duplicate Check) -- **기존 유사 문서:** [[AI-Governance-Policy]] (related), [[AI-Ethics]] (parent), [[Explainable-AI-XAI]] (subset). +- **기존 유사 문서:** [[AI 거버넌스 정책(AI Usage Policy)|AI-Governance-Policy]] (related), [[AI-Ethics]] (parent), [[Explainable-AI-XAI]] (subset). - **처리 방식:** KEEP (focused on accountability mechanism). - **처리 이유:** Accountability 가 distinct discipline (legal + technical + ethical). diff --git a/10_Wiki/Topics/AI_and_ML/AI Connect LLM Tool.md b/10_Wiki/Topics/AI_and_ML/AI Connect LLM Tool.md index 2e710278..08a13f8a 100644 --- a/10_Wiki/Topics/AI_and_ML/AI Connect LLM Tool.md +++ b/10_Wiki/Topics/AI_and_ML/AI Connect LLM Tool.md @@ -284,13 +284,9 @@ async function queryBrain(question: string): Promise { - **Model lifecycle**: 옛 = 매 chat 의 load (slow). 모던 = persistent + idle eject (LM Studio 통합). ## 🔗 지식 연결 (Graph) -- 관련 tool: [[Ollama]] · [[LM-Studio]] · [[vLLM]] · [[llama.cpp]] -- VS Code: [[VS-Code-Extension-API]] · [[Webview-Provider]] · [[Tree-Sitter-Integration]] -- Cloud alternative: [[Cursor-Workflow-Patterns]] · [[Claude-Code]] · [[GitHub-Copilot]] -- Local LLM: [[Local-LLM-Inference]] · [[Quantization-GGUF]] · [[Model-Selection-Hardware]] -- RAG: [[Vector-DB-Local]] · [[ChromaDB]] · [[LanceDB]] · [[Embedding-Strategy-Deep]] -- Lifecycle: [[Model-Loading-Memory-Management]] · [[GPU-Memory-Pressure]] -- 적용: [[Antigravity-Project]] · [[Connect-AI-Lab]] · [[EZERAI-Infrastructure]] +- 관련 tool: [[Ollama]] · [[LM-Studio]] · [[LLM_Optimization_and_Deployment_Strategies|vLLM]] · [[llama.cpp]] +- Cloud alternative: [[Claude-Code]] +- 적용: [[Connect-AI-Lab]] ## 🤖 LLM 활용 힌트 (How to Use This Knowledge) diff --git a/10_Wiki/Topics/AI_and_ML/AI Evaluation & Benchmarks.md b/10_Wiki/Topics/AI_and_ML/AI Evaluation & Benchmarks.md index ec3a5467..d74b2dd1 100644 --- a/10_Wiki/Topics/AI_and_ML/AI Evaluation & Benchmarks.md +++ b/10_Wiki/Topics/AI_and_ML/AI Evaluation & Benchmarks.md @@ -292,12 +292,9 @@ def chat(query): - **Reasoning trace 의 eval**: o1 / R1 의 chain-of-thought 의 quality 측정 = 새 challenge. ## 🔗 지식 연결 (Graph) -- 부모: [[LLM-Capabilities]] · [[Model-Quality]] · [[ML-Eval-Methodology]] -- 변형: [[Static-Benchmark]] · [[Live-Benchmark]] · [[Human-Pref-Eval]] · [[LLM-as-Judge]] -- 응용: [[Continuous-Learning-System]] · [[Production-Drift-Detection]] · [[Domain-Specific-Eval]] -- Adjacent: [[Contamination-Detection]] · [[Goodhart-Law-AI]] · [[Reasoning-Trace-Eval]] +- 변형: [[LLM-as-Judge]] - Tools: lm-eval-harness · Promptfoo · LangSmith · Inspect (AISI) · Braintrust · Helicone · Langfuse -- Related: [[Continuous-Learning-System]] · [[AI-Code-Agent-Patterns]] · [[Multi-Modal-Vision-Production]] +- Related: [[AI-Code-Agent-Patterns]] ## 🤖 LLM 활용 힌트 (How to Use This Knowledge) diff --git a/10_Wiki/Topics/AI_and_ML/AI Exploitation.md b/10_Wiki/Topics/AI_and_ML/AI Exploitation.md index b823bfb9..5a1bc9bb 100644 --- a/10_Wiki/Topics/AI_and_ML/AI Exploitation.md +++ b/10_Wiki/Topics/AI_and_ML/AI Exploitation.md @@ -381,13 +381,11 @@ public class AnomalyDetector { - **Adaptive AI 의 player frustration**: 매 매 try 의 different 가 unfair feel. ## 🔗 지식 연결 (Graph) -- 부모: [[Game-AI-Design]] · [[Game-Mechanics]] · [[Combat-Design]] -- 변형: [[Behavior-Tree]] · [[Finite-State-Machine]] · [[Utility-AI]] · [[GOAP-Goal-Oriented]] -- 응용: [[Baiting-Tactics]] · [[Kiting-MMO]] · [[Boss-Fight-Design]] · [[AI-Director-Left4Dead]] -- 매 게임: [[War-Commander-Combat]] · [[Dark-Souls-AI]] · [[StarCraft-AI]] · [[Halo-AI]] -- Modern: [[AlphaStar]] · [[OpenAI-Five]] · [[RL-Game-AI]] -- Adjacent: [[Adaptive-Difficulty]] · [[Procedural-Combat]] · [[Player-Skill-Expression]] -- Anti-cheese: [[Leash-Reset]] · [[State-Validation]] · [[Anti-Exploit-Telemetry]] +- 부모: [[Game-Mechanics]] +- 변형: [[Behavior-Tree]] +- 응용: [[Baiting-Tactics]] +- 매 게임: [[War-Commander-Combat]] +- Adjacent: [[Adaptive-Difficulty]] ## 🤖 LLM 활용 힌트 (How to Use This Knowledge) diff --git a/10_Wiki/Topics/AI_and_ML/AI Humanism.md b/10_Wiki/Topics/AI_and_ML/AI Humanism.md index 0575faab..e7f2bb0d 100644 --- a/10_Wiki/Topics/AI_and_ML/AI Humanism.md +++ b/10_Wiki/Topics/AI_and_ML/AI Humanism.md @@ -283,12 +283,9 @@ class AITutor { - **AI 의 emergent capability**: 매 augmentation tool 가 replacement 가 될 수. ## 🔗 지식 연결 (Graph) -- 부모: [[AI-Ethics]] · [[Human-Centered-Design]] · [[Philosophy-of-Technology]] -- 변형: [[Co-Intelligence-Mollick]] · [[Augmented-Intelligence-IBM]] · [[Centaur-Model-Chess]] · [[Humane-Tech]] -- 응용: [[AI-in-Education]] · [[AI-in-Healthcare]] · [[AI-Workplace-Augmentation]] · [[Creative-AI-Ethics]] -- 비판: [[AI-Solutionism-Critique]] · [[Job-Replacement-Reality]] · [[Anthropomorphism-Critique]] -- 관련: [[AI-Literacy]] · [[AI-Accountability]] · [[AI-Governance-Policy]] · [[AI-Safety-and-Alignment]] -- Adjacent: [[Universal-Basic-Income-UBI]] · [[Reskilling-Workforce]] · [[Slow-AI-Movement]] · [[Critical-AI]] +- 부모: [[AI-Ethics]] +- 관련: [[AI-Literacy]] · [[AI-Accountability]] · [[AI 거버넌스 정책(AI Usage Policy)|AI-Governance-Policy]] · [[AI-Safety-and-Alignment]] +- Adjacent: [[Universal-Basic-Income-UBI]] ## 🤖 LLM 활용 힌트 (How to Use This Knowledge) diff --git a/10_Wiki/Topics/AI_and_ML/AI Literacy.md b/10_Wiki/Topics/AI_and_ML/AI Literacy.md index ca78c486..5c1404c2 100644 --- a/10_Wiki/Topics/AI_and_ML/AI Literacy.md +++ b/10_Wiki/Topics/AI_and_ML/AI Literacy.md @@ -245,12 +245,10 @@ Week 6: Agent basic. - **Co-intelligence (Mollick)**: 매 task 의 AI + human 의 collaboration. "AI 가 없는 인간 의 의미" 재정의. ## 🔗 지식 연결 (Graph) -- 부모: [[Digital-Literacy]] · [[Information-Literacy]] · [[Critical-Thinking]] -- 변형: [[Prompt-Engineering]] · [[AI-Ethics]] · [[Algorithm-Literacy]] -- 응용: [[AI-Education-Curriculum]] · [[AI-in-Workplace]] · [[Co-Intelligence-Mollick]] -- Adjacent: [[Hallucination-Detection]] · [[AI-Bias]] · [[Adaptability]] · [[Lifelong-Learning]] -- Tools / education: [[Elements-of-AI-Course]] · [[fast.ai]] · [[Khan-Academy-AI]] · [[Mollick-Co-Intelligence-Book]] -- 응용: [[AI-Code-Agent-Patterns]] · [[Cursor-Workflow-Patterns]] · [[Continuous-Learning-System]] +- 부모: [[Digital-Literacy]] · [[Information-Literacy]] +- 변형: [[Prompt_Engineering|Prompt-Engineering]] · [[AI-Ethics]] +- Adjacent: [[Lifelong-Learning]] +- 응용: [[AI-Code-Agent-Patterns]] ## 🤖 LLM 활용 힌트 (How to Use This Knowledge) @@ -283,7 +281,7 @@ Week 6: Agent basic. - **검토 이유:** Manual cleanup. 매 framework 가 active. 매 6 month review. ## 🧬 중복 검사 (Duplicate Check) -- **기존 유사 문서:** [[Prompt-Engineering]] (subset), [[AI-Ethics]] (related), [[Critical-Thinking]] (parent). +- **기존 유사 문서:** [[Prompt_Engineering|Prompt-Engineering]] (subset), [[AI-Ethics]] (related), [[Critical-Thinking]] (parent). - **처리 방식:** KEEP (overall framework). - **처리 이유:** Literacy 가 holistic. 매 component 의 own document. diff --git a/10_Wiki/Topics/AI_and_ML/AI and Narrative.md b/10_Wiki/Topics/AI_and_ML/AI and Narrative.md index 842f06a8..82cd4fba 100644 --- a/10_Wiki/Topics/AI_and_ML/AI and Narrative.md +++ b/10_Wiki/Topics/AI_and_ML/AI and Narrative.md @@ -425,13 +425,8 @@ For each: Where? What's the issue? How to fix? - **WGA / writer 의 contract**: 매 industry change. ## 🔗 지식 연결 (Graph) -- 부모: [[Storytelling]] · [[Generative-AI]] · [[Creative-Writing]] -- 변형: [[AI-Dungeon]] · [[Interactive-Fiction]] · [[Game-Narrative]] · [[Procedural-Storytelling]] -- 응용: [[NPC-Dynamic-Dialogue]] · [[Branching-Narrative]] · [[Worldbuilding-AI]] · [[Screenwriting-AI]] -- 기법: [[Hero-Journey-Campbell]] · [[Save-the-Cat-Snyder]] · [[3-Act-Structure]] · [[Pixar-22-Rules]] -- Tools: [[Inworld-AI]] · [[Convai]] · [[Sudowrite]] · [[NovelCrafter]] · [[Charisma-AI]] · [[NovelAI]] -- Game: [[Game-Narrative-Design]] · [[Procedural-Story-Generation]] · [[Emergent-Narrative]] -- 윤리: [[AI-Copyright]] · [[Author-Authenticity]] · [[WGA-Strike-2023]] +- 부모: [[Generative-AI]] +- 변형: [[Interactive-Fiction]] ## 🤖 LLM 활용 힌트 (How to Use This Knowledge) diff --git a/10_Wiki/Topics/AI_and_ML/AI for Social Good.md b/10_Wiki/Topics/AI_and_ML/AI for Social Good.md index 1d0110fe..75014fdc 100644 --- a/10_Wiki/Topics/AI_and_ML/AI for Social Good.md +++ b/10_Wiki/Topics/AI_and_ML/AI for Social Good.md @@ -353,13 +353,9 @@ class ImpactTracker: - **매 SDG 의 hype**: 매 vendor 의 SDG checkbox + 매 actual impact 의 부족. ## 🔗 지식 연결 (Graph) -- 부모: [[AI-Ethics]] · [[Technology-for-Development]] · [[Public-Interest-Tech]] -- 변형: [[AI-for-Earth]] · [[AI-for-Health]] · [[AI-for-Climate]] · [[AI-for-Accessibility]] -- 응용: [[Federated-Learning]] · [[Low-Resource-NLP]] · [[Satellite-Imagery-ML]] · [[Mobile-AI-Edge]] -- 비판: [[AI-Solutionism]] · [[AI-Colonialism]] · [[Pilotitis]] · [[AI4SG-Washing]] -- 관련: [[AI-Humanism]] · [[AI-Accountability]] · [[AI-Governance-Policy]] -- 기관: [[Google-AI-for-Social-Good]] · [[Microsoft-AI-for-Earth]] · [[Partnership-on-AI]] · [[UN-Global-Pulse]] · [[Anthropic-Claude-for-Climate]] -- Adjacent: [[Co-Design]] · [[Theory-of-Change]] · [[Human-Rights-Impact-Assessment]] · [[Sustainable-Development-Goals]] +- 부모: [[AI-Ethics]] +- 응용: [[Federated-Learning]] +- 관련: [[AI-Humanism]] · [[AI-Accountability]] · [[AI 거버넌스 정책(AI Usage Policy)|AI-Governance-Policy]] ## 🤖 LLM 활용 힌트 (How to Use This Knowledge) @@ -392,7 +388,7 @@ class ImpactTracker: - **검토 이유:** Manual cleanup. 매 specific 프로그램 의 detail 가 evolving. ## 🧬 중복 검사 (Duplicate Check) -- **기존 유사 문서:** [[AI-Humanism]] (related), [[AI-Ethics]] (parent), [[AI-Governance-Policy]] (related). +- **기존 유사 문서:** [[AI-Humanism]] (related), [[AI-Ethics]] (parent), [[AI 거버넌스 정책(AI Usage Policy)|AI-Governance-Policy]] (related). - **처리 방식:** KEEP (specific application focus). - **처리 이유:** AI4SG 가 distinct application area + methodology. diff --git a/10_Wiki/Topics/AI_and_ML/AI 거버넌스 정책(AI Usage Policy).md b/10_Wiki/Topics/AI_and_ML/AI 거버넌스 정책(AI Usage Policy).md index c4627e87..d2bf0610 100644 --- a/10_Wiki/Topics/AI_and_ML/AI 거버넌스 정책(AI Usage Policy).md +++ b/10_Wiki/Topics/AI_and_ML/AI 거버넌스 정책(AI Usage Policy).md @@ -297,12 +297,10 @@ def audit_bias(model, test_set): - **Vendor 의 data assurance**: "data not used for training" claim 의 verification 어려움. ## 🔗 지식 연결 (Graph) -- 부모: [[AI-Ethics]] · [[Corporate-Governance]] · [[Risk-Management]] -- 변형: [[Acceptable-Use-Policy]] · [[Data-Privacy-Policy]] · [[Vendor-Management]] -- 응용: [[EU-AI-Act-Compliance]] · [[NIST-AI-RMF]] · [[ISO-42001]] · [[GDPR-AI-Implications]] -- 기술: [[DLP-Data-Loss-Prevention]] · [[Bias-Audit]] · [[Model-Card]] · [[AI-Audit-Log]] -- 응용: [[AI-Literacy]] · [[AI-Safety-Constitutional]] · [[AI-Accountability]] -- Adjacent: [[Shadow-IT]] · [[Compliance-Framework]] · [[Privacy-by-Design]] +- 부모: [[AI-Ethics]] · [[Risk_Management|Risk-Management]] +- 응용: [[NIST-AI-RMF]] · [[ISO-42001]] +- 기술: [[Model-Card]] +- 응용: [[AI-Literacy]] · [[AI-Accountability]] ## 🤖 LLM 활용 힌트 (How to Use This Knowledge) diff --git a/10_Wiki/Topics/AI_and_ML/AI 기반 코드 분석 도구 (AI-Powered Code Analysis Tools).md b/10_Wiki/Topics/AI_and_ML/AI 기반 코드 분석 도구 (AI-Powered Code Analysis Tools).md index b3973cc3..0be99a9a 100644 --- a/10_Wiki/Topics/AI_and_ML/AI 기반 코드 분석 도구 (AI-Powered Code Analysis Tools).md +++ b/10_Wiki/Topics/AI_and_ML/AI 기반 코드 분석 도구 (AI-Powered Code Analysis Tools).md @@ -480,12 +480,12 @@ async function processSuggestion(suggestion) { - **DORA metric 의 unclear improvement**: 매 study 의 mixed evidence. ## 🔗 지식 연결 (Graph) -- 부모: [[AI-Code-Review]] · [[Static-Analysis]] · [[DevSecOps]] -- 변형: [[CodeRabbit]] · [[Greptile]] · [[Cursor]] · [[Sourcegraph]] · [[Snyk]] · [[Sonar]] -- 응용: [[MCP-Model-Context-Protocol]] · [[Codebase-RAG]] · [[Code-Property-Graph]] · [[Taint-Analysis]] +- 부모: [[AI_코드_리뷰]] · [[Static-Analysis]] · [[CI_CD 파이프라인 및 IDE 통합 보안|DevSecOps]] +- 변형: [[CodeRabbit]] · [[Greptile]] · [[Cursor]] · [[Sonar]] +- 응용: [[Codebase-RAG]] · [[Code-Property-Graph]] - 기술: [[AST]] · [[Semgrep]] · [[CodeQL]] · [[Joern]] -- 응용: [[Behavioral-Code-Analysis]] · [[CodeScene-Hotspot]] · [[Technical-Debt]] -- Adjacent: [[AI-Code-Agent-Patterns]] · [[Cursor-Workflow-Patterns]] · [[ConnectAI-LLM-Tool]] · [[AI-Coding-Productivity]] +- 응용: [[Behavioral-Code-Analysis]] · [[Technical_Debt|Technical-Debt]] +- Adjacent: [[AI-Code-Agent-Patterns]] ## 🤖 LLM 활용 힌트 (How to Use This Knowledge) @@ -516,7 +516,7 @@ async function processSuggestion(suggestion) { - **검토 이유:** Manual cleanup. 매 vendor / tool 의 매 6 month 의 evolution. ## 🧬 중복 검사 (Duplicate Check) -- **기존 유사 문서:** [[AI_코드_리뷰]] (related), [[AI-Code-Review]] (related), [[AI_Powered_Code_Analysis]] (similar — possibly duplicate). +- **기존 유사 문서:** [[AI_코드_리뷰]] (related), [[AI_코드_리뷰]] (related), [[AI_Powered_Code_Analysis]] (similar — possibly duplicate). - **처리 방식:** KEEP (focused on tool landscape). - **처리 이유:** 매 tool 의 broader survey. diff --git a/10_Wiki/Topics/AI_and_ML/AI 모델 사후 편집 도구 (Post-editing Tools).md b/10_Wiki/Topics/AI_and_ML/AI 모델 사후 편집 도구 (Post-editing Tools).md index e7686f60..0f3e36e7 100644 --- a/10_Wiki/Topics/AI_and_ML/AI 모델 사후 편집 도구 (Post-editing Tools).md +++ b/10_Wiki/Topics/AI_and_ML/AI 모델 사후 편집 도구 (Post-editing Tools).md @@ -425,11 +425,11 @@ with ThreadPoolExecutor(max_workers=4) as executor: - **Inpaint dedicated model vs general**: 매 dedicated 의 better. ## 🔗 지식 연결 (Graph) -- 부모: [[AI-Image-Generation]] · [[Image-Editing]] · [[Diffusion-Models]] -- 변형: [[Inpainting]] · [[Outpainting]] · [[Img2Img]] · [[Upscale]] · [[ControlNet]] -- 응용: [[Photoshop-Generative-Fill]] · [[Midjourney-Vary-Region]] · [[ComfyUI-Workflow]] -- Tool: [[Diffusers-Library]] · [[Real-ESRGAN]] · [[GFPGAN]] · [[CodeFormer]] · [[IP-Adapter]] · [[Flux-Fill]] -- Adjacent: [[Image-Quality-Optimization-Debugging]] · [[Iterative-Refinement]] · [[Prompt-Engineering]] +- 부모: [[AI 이미지 생성 (AI Image Generation)]] · [[Diffusion-Models]] +- 변형: [[Inpainting]] · [[Outpainting]] · [[Upscale]] · [[ControlNet]] +- 응용: [[Midjourney-Vary-Region]] +- Tool: [[IP-Adapter]] +- Adjacent: [[Iterative-Refinement]] · [[Prompt_Engineering|Prompt-Engineering]] ## 🤖 LLM 활용 힌트 (How to Use This Knowledge) @@ -461,7 +461,7 @@ with ThreadPoolExecutor(max_workers=4) as executor: - **검토 이유:** Manual cleanup. 매 platform 의 evolution. ## 🧬 중복 검사 (Duplicate Check) -- **기존 유사 문서:** [[AI-Image-Generation]] (parent), [[AI 이미지 생성 및 편집 워크플로우]] (related), [[AI 이미지 품질 최적화]] (related). +- **기존 유사 문서:** [[AI 이미지 생성 (AI Image Generation)]] (parent), [[AI 이미지 생성 및 편집 워크플로우]] (related), [[AI 이미지 품질 최적화]] (related). - **처리 방식:** KEEP (focused on post-editing tools). - **처리 이유:** Specific to refinement workflow. diff --git a/10_Wiki/Topics/AI_and_ML/AI 생성 코드 검증(AI Code Assurance).md b/10_Wiki/Topics/AI_and_ML/AI 생성 코드 검증(AI Code Assurance).md index 6c28f781..5ea81215 100644 --- a/10_Wiki/Topics/AI_and_ML/AI 생성 코드 검증(AI Code Assurance).md +++ b/10_Wiki/Topics/AI_and_ML/AI 생성 코드 검증(AI Code Assurance).md @@ -284,10 +284,10 @@ I have reviewed: **기본값**: Type + lint + SAST + test + AI review + human review. 매 AI-heavy PR 의 enhanced. ## 🔗 Graph -- 부모: [[AI-Code-Review]] · [[DevSecOps]] · [[Code-Quality]] -- 변형: [[Hallucination-Detection]] · [[SAST]] · [[LLM-as-Judge]] +- 부모: [[AI_코드_리뷰]] · [[CI_CD 파이프라인 및 IDE 통합 보안|DevSecOps]] · [[Code-Quality]] +- 변형: [[SAST]] · [[LLM-as-Judge]] - 응용: [[CodeRabbit]] · [[Snyk-Code]] · [[Sonar]] -- Adjacent: [[Vibe-Coding]] · [[AI-Code-Agent-Patterns]] · [[Cursor-Workflow-Patterns]] +- Adjacent: [[AI-Code-Agent-Patterns]] ## 🤖 LLM 활용 **언제**: 매 team 의 AI tool 의 adoption + quality. @@ -303,7 +303,7 @@ I have reviewed: ## 🧪 검증 / 중복 - Verified (concept). - 신뢰도 B. -- Related: [[AI-Code-Review]], [[AI-Powered-Code-Analysis-Tools]]. +- Related: [[AI_코드_리뷰]], [[AI 기반 코드 분석 도구 (AI-Powered Code Analysis Tools)]]. ## 🕓 Changelog | 날짜 | 변경 | diff --git a/10_Wiki/Topics/AI_and_ML/AI 이미지 생성 (AI Image Generation).md b/10_Wiki/Topics/AI_and_ML/AI 이미지 생성 (AI Image Generation).md index ce9c6e87..151ef9bb 100644 --- a/10_Wiki/Topics/AI_and_ML/AI 이미지 생성 (AI Image Generation).md +++ b/10_Wiki/Topics/AI_and_ML/AI 이미지 생성 (AI Image Generation).md @@ -471,13 +471,11 @@ print(f"CLIP score: {similarity:.3f}") - **Flux 의 emerging**: 매 modern SoTA 가 SDXL 의 surpass. ## 🔗 지식 연결 (Graph) -- 부모: [[Generative-AI]] · [[Diffusion-Models]] · [[Computer-Vision]] +- 부모: [[Generative-AI]] · [[Diffusion-Models]] · [[Computer Vision|Computer-Vision]] - 변형: [[Stable-Diffusion]] · [[Flux]] · [[Midjourney]] · [[DALL-E]] · [[Imagen]] -- 응용: [[ControlNet]] · [[LoRA]] · [[Inpainting]] · [[Img2Img]] · [[IP-Adapter]] -- 기법: [[Prompt-Engineering]] · [[Negative-Prompt]] · [[CFG-Scale]] · [[Sampling-Steps]] -- 응용 분야: [[AI-Art-Commercial]] · [[Game-Asset-Generation]] · [[Marketing-AI]] -- 윤리: [[AI-Copyright]] · [[Training-Data-Lawsuit]] · [[AI-Disclosure]] -- Tools: [[ComfyUI]] · [[Automatic1111]] · [[Diffusers-Library]] · [[Replicate-API]] +- 응용: [[ControlNet]] · [[LoRA]] · [[Inpainting]] · [[IP-Adapter]] +- 기법: [[Prompt_Engineering|Prompt-Engineering]] · [[Negative-Prompt]] · [[CFG-Scale]] · [[Sampling-Steps]] +- Tools: [[ComfyUI]] ## 🤖 LLM 활용 힌트 (How to Use This Knowledge) diff --git a/10_Wiki/Topics/AI_and_ML/AI 이미지 생성 및 편집 워크플로우 (AI Image Generation & Editing Workflow).md b/10_Wiki/Topics/AI_and_ML/AI 이미지 생성 및 편집 워크플로우 (AI Image Generation & Editing Workflow).md index b82a903e..180eef92 100644 --- a/10_Wiki/Topics/AI_and_ML/AI 이미지 생성 및 편집 워크플로우 (AI Image Generation & Editing Workflow).md +++ b/10_Wiki/Topics/AI_and_ML/AI 이미지 생성 및 편집 워크플로우 (AI Image Generation & Editing Workflow).md @@ -205,10 +205,9 @@ result = pipe( **기본값**: Draft 30 → Select 5 → Final + post-edit. 매 cost 의 80% saving + quality 의 maintain. ## 🔗 Graph -- 부모: [[AI-Image-Generation]] · [[Creative-Workflow]] -- 변형: [[Iterative-Refinement]] · [[Draft-Mode]] · [[Post-editing-Tools]] -- 응용: [[Marketing-Campaign-AI]] · [[Product-Mockup]] · [[Concept-Art-Generation]] -- Adjacent: [[Style-Reference]] · [[LoRA-Fine-Tune]] · [[ControlNet]] +- 부모: [[AI 이미지 생성 (AI Image Generation)]] +- 변형: [[Iterative-Refinement]] · [[Draft-Mode]] · [[AI 모델 사후 편집 도구 (Post-editing Tools)|Post-editing-Tools]] +- Adjacent: [[Style-Reference]] · [[ControlNet]] ## 🤖 LLM 활용 **언제**: 매 commercial creative project. 매 brand campaign. @@ -224,7 +223,7 @@ result = pipe( ## 🧪 검증 / 중복 - Verified. - 신뢰도 B. -- Overlap with [[AI-Image-Generation]] / [[Post-editing-Tools]]. +- Overlap with [[AI 이미지 생성 (AI Image Generation)]] / [[AI 모델 사후 편집 도구 (Post-editing Tools)|Post-editing-Tools]]. ## 🕓 Changelog | 날짜 | 변경 | diff --git a/10_Wiki/Topics/AI_and_ML/AI 이미지 품질 최적화 및 디버깅 (Image Quality Optimization & Debugging).md b/10_Wiki/Topics/AI_and_ML/AI 이미지 품질 최적화 및 디버깅 (Image Quality Optimization & Debugging).md index 3fb1e8dd..af9318a8 100644 --- a/10_Wiki/Topics/AI_and_ML/AI 이미지 품질 최적화 및 디버깅 (Image Quality Optimization & Debugging).md +++ b/10_Wiki/Topics/AI_and_ML/AI 이미지 품질 최적화 및 디버깅 (Image Quality Optimization & Debugging).md @@ -296,10 +296,10 @@ def llm_judge(image_url, prompt): **기본값**: Specific negative > generic. Inpaint > regenerate. ControlNet 의 anatomy. Detect → fix loop. ## 🔗 Graph -- 부모: [[AI-Image-Generation]] · [[Image-Quality]] -- 변형: [[Negative-Prompt]] · [[Inpainting]] · [[Face-Restoration]] -- 응용: [[ControlNet]] · [[GFPGAN]] · [[Real-ESRGAN]] -- Adjacent: [[Post-editing-Tools]] · [[Workflow-Iteration]] +- 부모: [[AI 이미지 생성 (AI Image Generation)]] +- 변형: [[Negative-Prompt]] · [[Inpainting]] +- 응용: [[ControlNet]] +- Adjacent: [[AI 모델 사후 편집 도구 (Post-editing Tools)|Post-editing-Tools]] ## 🤖 LLM 활용 **언제**: 매 commercial output 의 quality 의 critical. @@ -315,7 +315,7 @@ def llm_judge(image_url, prompt): ## 🧪 검증 / 중복 - Verified. - 신뢰도 B. -- Overlap with [[Post-editing-Tools]] / [[AI-Image-Generation]]. +- Overlap with [[AI 모델 사후 편집 도구 (Post-editing Tools)|Post-editing-Tools]] / [[AI 이미지 생성 (AI Image Generation)]]. ## 🕓 Changelog | 날짜 | 변경 | diff --git a/10_Wiki/Topics/AI_and_ML/AI 추적 논리(AI Pursuit Logic).md b/10_Wiki/Topics/AI_and_ML/AI 추적 논리(AI Pursuit Logic).md index 7034fa64..23184c6a 100644 --- a/10_Wiki/Topics/AI_and_ML/AI 추적 논리(AI Pursuit Logic).md +++ b/10_Wiki/Topics/AI_and_ML/AI 추적 논리(AI Pursuit Logic).md @@ -435,11 +435,9 @@ public class AntiCheese : MonoBehaviour { - **AI 의 squad coordination 의 cost**: 매 sophisticated 의 dev expensive. ## 🔗 지식 연결 (Graph) -- 부모: [[Game-AI-Design]] · [[Combat-AI]] · [[NPC-Behavior]] -- 변형: [[Aggro-Threat-System]] · [[Stance-Based-AI]] · [[Sight-Cone-Detection]] · [[Investigation-State]] -- 응용: [[AI-Exploitation]] · [[Baiting-Tactics]] · [[Kiting-Strategy]] · [[Boss-Fight-Design]] -- 매 game: [[War-Commander]] · [[StarCraft-AI]] · [[WoW-Mob-AI]] · [[Splinter-Cell-Stealth]] · [[Halo-Combat-AI]] -- Adjacent: [[Behavior-Tree]] · [[FSM-Game-AI]] · [[Utility-AI]] · [[Squad-Coordination]] · [[Anti-Cheese-Mechanism]] +- 응용: [[AI-Exploitation]] · [[Baiting-Tactics]] +- 매 game: [[War-Commander]] +- Adjacent: [[Behavior-Tree]] ## 🤖 LLM 활용 힌트 (How to Use This Knowledge) diff --git a/10_Wiki/Topics/AI_and_ML/AI 코드 리뷰 및 보안 취약점 점검(DevSecOps).md b/10_Wiki/Topics/AI_and_ML/AI 코드 리뷰 및 보안 취약점 점검(DevSecOps).md index ae9d3559..de345036 100644 --- a/10_Wiki/Topics/AI_and_ML/AI 코드 리뷰 및 보안 취약점 점검(DevSecOps).md +++ b/10_Wiki/Topics/AI_and_ML/AI 코드 리뷰 및 보안 취약점 점검(DevSecOps).md @@ -261,11 +261,11 @@ repos: **기본값**: IDE + PR + pre-deploy 의 layered. 매 gate 의 different threshold. ## 🔗 Graph -- 부모: [[DevSecOps]] · [[AI-Code-Review]] · [[Security]] -- 변형: [[SAST]] · [[DAST]] · [[Shift-Left-Security]] -- 응용: [[CodeRabbit]] · [[Snyk]] · [[Sonar]] · [[Semgrep]] -- 매 OWASP: [[OWASP-Top-10]] · [[OWASP-API-Top-10]] -- Adjacent: [[Container-Scanning]] · [[Dependency-Update]] · [[Secret-Detection]] +- 부모: [[CI_CD 파이프라인 및 IDE 통합 보안|DevSecOps]] · [[AI_코드_리뷰]] · [[Security]] +- 변형: [[SAST]] · [[보안_및_시스템_신뢰성_표준|DAST]] · [[Shift-Left-Security]] +- 응용: [[CodeRabbit]] · [[Sonar]] · [[Semgrep]] +- 매 OWASP: [[OWASP-Top-10]] +- Adjacent: [[Dependency-Update]] · [[Secret-Detection]] ## 🤖 LLM 활용 **언제**: 매 production system 의 security strategy. 매 vibe coding 의 review. @@ -281,7 +281,7 @@ repos: ## 🧪 검증 / 중복 - Verified. - 신뢰도 B. -- Related: [[AI-Code-Review]] · [[AI-Code-Assurance]] · [[OWASP-API-Top-10]]. +- Related: [[AI_코드_리뷰]] · [[AI-Code-Assurance]] · [[OWASP-API-Top-10]]. ## 🕓 Changelog | 날짜 | 변경 | diff --git a/10_Wiki/Topics/AI_and_ML/AI-Answer-Engine-Optimization.md b/10_Wiki/Topics/AI_and_ML/AI-Answer-Engine-Optimization.md index f9b83043..9b191a4e 100644 --- a/10_Wiki/Topics/AI_and_ML/AI-Answer-Engine-Optimization.md +++ b/10_Wiki/Topics/AI_and_ML/AI-Answer-Engine-Optimization.md @@ -184,10 +184,8 @@ function FAQ({ items }: { items: { q: string; a: string }[] }) { **기본값**: SSR/SSG + JSON-LD + Q&A format + direct answer in lead. ## 🔗 Graph -- 부모: [[SEO]] · [[Content-Strategy]] · [[Generative-AI]] -- 변형: [[GEO]] · [[Schema-Markup]] · [[E-E-A-T]] -- 응용: [[SSR-Server-Side-Rendering]] · [[FAQ-Schema]] · [[Direct-Answer-Optimization]] -- Adjacent: [[Robots-Txt]] · [[GPTBot]] · [[Perplexity-AI]] · [[Google-AI-Overviews]] +- 부모: [[SEO]] · [[Generative-AI]] +- 변형: [[GEO]] ## 🤖 LLM 활용 **언제**: 매 content site 의 AI traffic 의 capture. 매 documentation site 의 visibility. diff --git a/10_Wiki/Topics/AI_and_ML/AI-Generated Code Assurance (AI 생성 코드 검증).md b/10_Wiki/Topics/AI_and_ML/AI-Generated Code Assurance (AI 생성 코드 검증).md index bc8987a7..409d9080 100644 --- a/10_Wiki/Topics/AI_and_ML/AI-Generated Code Assurance (AI 생성 코드 검증).md +++ b/10_Wiki/Topics/AI_and_ML/AI-Generated Code Assurance (AI 생성 코드 검증).md @@ -29,8 +29,8 @@ github_commit: pending ## 🔗 Graph - 부모: [[AI 생성 코드 검증(AI Code Assurance)]] (canonical) -- 변형: [[AI 코드 리뷰 및 보안 취약점 점검(DevSecOps)]] · [[Software-Supply-Chain-Security]] -- Adjacent: [[Static-Analysis-Linting]] · [[Shift-Left-Security]] · [[Slopsquatting]] +- 변형: [[AI 코드 리뷰 및 보안 취약점 점검(DevSecOps)]] +- Adjacent: [[ESLint-Static-Analysis|Static-Analysis-Linting]] · [[Shift-Left-Security]] ## 🕓 변경 이력 | 날짜 | 변경 | diff --git a/10_Wiki/Topics/AI_and_ML/AI-Overviews-and-SGE.md b/10_Wiki/Topics/AI_and_ML/AI-Overviews-and-SGE.md index 8630577e..eada3464 100644 --- a/10_Wiki/Topics/AI_and_ML/AI-Overviews-and-SGE.md +++ b/10_Wiki/Topics/AI_and_ML/AI-Overviews-and-SGE.md @@ -195,10 +195,10 @@ inferred_by: Claude Opus 4.7 (manual cleanup 2026-05-09) **기본값**: Direct answer + FAQ schema + Core Web Vitals + E-E-A-T author info. ## 🔗 Graph -- 부모: [[SEO]] · [[Search-Marketing]] +- 부모: [[SEO]] - 변형: [[AI-Answer-Engine-Optimization]] · [[Generative-Engine-Optimization]] -- 응용: [[Core-Web-Vitals]] · [[E-E-A-T]] · [[Schema-Markup]] · [[Direct-Answer-Optimization]] -- Adjacent: [[Zero-Click-Search]] · [[Knowledge-Graph]] · [[Featured-Snippet]] +- 응용: [[Core Web Vitals Optimization (INP, LCP 개선)|Core-Web-Vitals]] +- Adjacent: [[Zero-Click-Search]] · [[Knowledge Graph|Knowledge-Graph]] ## 🤖 LLM 활용 **언제**: Content website 의 SGE traffic 의 capture. diff --git a/10_Wiki/Topics/AI_and_ML/AI-Search-Optimization.md b/10_Wiki/Topics/AI_and_ML/AI-Search-Optimization.md index 87cca89c..7a77f030 100644 --- a/10_Wiki/Topics/AI_and_ML/AI-Search-Optimization.md +++ b/10_Wiki/Topics/AI_and_ML/AI-Search-Optimization.md @@ -218,10 +218,10 @@ Sitemap: https://example.com/llm-sitemap.xml **기본값**: SSR + schema.org + topic cluster + E-E-A-T author + Core Web Vitals. ## 🔗 Graph -- 부모: [[SEO]] · [[Search-Marketing]] · [[Content-Strategy]] +- 부모: [[SEO]] - 변형: [[AI-Answer-Engine-Optimization]] · [[AI-Overviews-and-SGE]] · [[Generative-Engine-Optimization]] -- 응용: [[Topic-Cluster]] · [[Entity-SEO]] · [[Schema-Markup]] · [[E-E-A-T]] -- Adjacent: [[Knowledge-Graph]] · [[Wikidata]] · [[IndexNow]] +- 응용: [[Entity-SEO]] +- Adjacent: [[Knowledge Graph|Knowledge-Graph]] ## 🤖 LLM 활용 **언제**: Public content site 의 AI traffic 의 strategy. diff --git a/10_Wiki/Topics/AI_and_ML/AI_Content_Production_Pipeline.md b/10_Wiki/Topics/AI_and_ML/AI_Content_Production_Pipeline.md index eb658429..c494d0f1 100644 --- a/10_Wiki/Topics/AI_and_ML/AI_Content_Production_Pipeline.md +++ b/10_Wiki/Topics/AI_and_ML/AI_Content_Production_Pipeline.md @@ -233,10 +233,7 @@ async def monitor_articles(): **기본값**: AI draft + human edit + automated quality gate. ## 🔗 Graph -- 부모: [[Content-Strategy]] · [[Blog-Monetization]] · [[AI-Content]] -- 변형: [[AdSense-Revenue-Blog]] · [[SEO-Pipeline]] - 응용: [[AI-Search-Optimization]] · [[AI-Answer-Engine-Optimization]] -- Tools: [[Ahrefs]] · [[Yoast]] · [[Originality-AI]] · [[Copyscape]] ## 🤖 LLM 활용 **언제**: 매 indie content business. 매 brand content scale. diff --git a/10_Wiki/Topics/AI_and_ML/AI_Image_Generation_Workflow.md b/10_Wiki/Topics/AI_and_ML/AI_Image_Generation_Workflow.md index 17fe6800..e210360e 100644 --- a/10_Wiki/Topics/AI_and_ML/AI_Image_Generation_Workflow.md +++ b/10_Wiki/Topics/AI_and_ML/AI_Image_Generation_Workflow.md @@ -53,9 +53,9 @@ github_commit: pending - Compositing. ### Cross-reference -- See [[AI-Image-Generation]] (platform comparison). +- See [[AI 이미지 생성 (AI Image Generation)]] (platform comparison). - See [[AI 이미지 생성 및 편집 워크플로우]] (continuous workflow). -- See [[Post-editing-Tools]] (specific tools). +- See [[AI 모델 사후 편집 도구 (Post-editing Tools)|Post-editing-Tools]] (specific tools). - See [[AI 이미지 품질 최적화 및 디버깅]] (defect fix). ## 💻 Code (간단) @@ -82,7 +82,7 @@ class Workflow: ``` ## 🔗 Graph -- 매 detail 의 [[AI-Image-Generation]] · [[AI 이미지 생성 및 편집 워크플로우]] · [[Post-editing-Tools]] · [[AI 이미지 품질 최적화 및 디버깅]] 의 reference. +- 매 detail 의 [[AI 이미지 생성 (AI Image Generation)]] · [[AI 모델 사후 편집 도구 (Post-editing Tools)|Post-editing-Tools]] · 의 reference. ## 🤖 LLM 활용 **언제**: 매 image gen 의 first overview. diff --git a/10_Wiki/Topics/AI_and_ML/AI_Powered_Code_Analysis.md b/10_Wiki/Topics/AI_and_ML/AI_Powered_Code_Analysis.md index 8c920557..21f6fa00 100644 --- a/10_Wiki/Topics/AI_and_ML/AI_Powered_Code_Analysis.md +++ b/10_Wiki/Topics/AI_and_ML/AI_Powered_Code_Analysis.md @@ -259,10 +259,10 @@ def dashboard_metrics(): **기본값**: SAST + LLM triage + autofix 의 confidence-based gating. ## 🔗 Graph -- 부모: [[AI-Code-Review]] · [[SAST]] · [[DevSecOps]] -- 변형: [[Snyk-Code]] · [[Corgea-Autofix]] · [[CodeRabbit]] -- 응용: [[AI-Code-Assurance]] · [[OWASP-API-Top-10]] -- Adjacent: [[AI-Code-Review-DevSecOps]] · [[AI-Powered-Code-Analysis-Tools]] +- 부모: [[AI_코드_리뷰]] · [[SAST]] · [[CI_CD 파이프라인 및 IDE 통합 보안|DevSecOps]] +- 변형: [[Snyk-Code]] · [[CodeRabbit]] +- 응용: [[AI-Code-Assurance]] +- Adjacent: [[AI 기반 코드 분석 도구 (AI-Powered Code Analysis Tools)]] ## 🤖 LLM 활용 **언제**: 매 large codebase 의 vulnerability triage. 매 alert fatigue 의 reduce. @@ -278,7 +278,7 @@ def dashboard_metrics(): ## 🧪 검증 / 중복 - Verified. - 신뢰도 B. -- Related: [[AI-Code-Review]] · [[AI-Code-Assurance]] · [[AI-Powered-Code-Analysis-Tools]]. +- Related: [[AI_코드_리뷰]] · [[AI-Code-Assurance]] · [[AI 기반 코드 분석 도구 (AI-Powered Code Analysis Tools)]]. ## 🕓 Changelog | 날짜 | 변경 | diff --git a/10_Wiki/Topics/AI_and_ML/AI_Safety_and_Alignment.md b/10_Wiki/Topics/AI_and_ML/AI_Safety_and_Alignment.md index 405d2293..e68d7867 100644 --- a/10_Wiki/Topics/AI_and_ML/AI_Safety_and_Alignment.md +++ b/10_Wiki/Topics/AI_and_ML/AI_Safety_and_Alignment.md @@ -371,13 +371,9 @@ trainer.train() - **Cost of safety**: red-team / RLHF / interpretability 가 model 의 cost ↑. ## 🔗 지식 연결 (Graph) -- 부모: [[AI-Ethics]] · [[AI-Governance-Policy]] · [[AGI-Safety]] -- 변형: [[RLHF-Human-Feedback]] · [[DPO-Direct-Preference]] · [[Constitutional-AI-Anthropic]] · [[Interpretability-Mechanistic]] -- 응용: [[Red-Teaming-AI]] · [[Jailbreak-Defense]] · [[Hallucination-Mitigation]] · [[Bias-Audit]] -- 기관: [[Anthropic-Safety-Research]] · [[OpenAI-Superalignment]] · [[MIRI]] · [[AI-Safety-Institute]] -- 정책: [[Responsible-Scaling-Policy]] · [[OpenAI-Preparedness-Framework]] · [[Frontier-Safety-Framework]] -- 응용: [[AI-Accountability]] · [[AI-Literacy]] · [[Continuous-Learning-System]] -- Adjacent: [[Reward-Hacking]] · [[Goal-Misgeneralization]] · [[Specification-Gaming]] · [[Sparse-Autoencoder]] +- 부모: [[AI-Ethics]] · [[AI 거버넌스 정책(AI Usage Policy)|AI-Governance-Policy]] +- 응용: [[AI-Accountability]] · [[AI-Literacy]] +- Adjacent: [[AI_Safety_and_Alignment|Goal-Misgeneralization]] · [[Sparse-Autoencoder]] ## 🤖 LLM 활용 힌트 (How to Use This Knowledge) @@ -411,7 +407,7 @@ trainer.train() - **검토 이유:** Manual creation. Active research field. 매 6 month review. ## 🧬 중복 검사 (Duplicate Check) -- **Redirect 의 source files**: [[AI-Alignment]] · [[AI Safety & Constitutional AI]] · [[AI Safety (AI 안전)]] · [[AI Safety]] · [[AI_Safety]]. +- **Redirect 의 source files**: [[AI_Safety_and_Alignment|AI-Alignment]] · [[AI_Safety_and_Alignment|AI Safety & Constitutional AI]] · [[AI Safety (AI 안전)]] · [[AI_Safety_and_Alignment|AI Safety]] · [[AI_Safety_and_Alignment|AI_Safety]]. - **처리 방식**: KEEP as canonical (이 file 가 모든 redirect 의 target). - **Reasoning**: 매 variant 의 redirect 의 single canonical document. diff --git a/10_Wiki/Topics/AI_and_ML/AI_기반_코드_분석_자동화Autofix_및_Triage.md b/10_Wiki/Topics/AI_and_ML/AI_기반_코드_분석_자동화Autofix_및_Triage.md index 2aea8f58..dddaf095 100644 --- a/10_Wiki/Topics/AI_and_ML/AI_기반_코드_분석_자동화Autofix_및_Triage.md +++ b/10_Wiki/Topics/AI_and_ML/AI_기반_코드_분석_자동화Autofix_및_Triage.md @@ -43,7 +43,7 @@ github_commit: pending ## 🔗 Graph - 매 canonical 의 [[AI_Powered_Code_Analysis]]. -- 매 related 의 [[AI-Powered-Code-Analysis-Tools]] · [[AI 기반 코드 분석 도구 (AI-Powered Code Analysis Tools)]] · [[AI-Code-Review-DevSecOps]]. +- 매 related 의 [[AI 기반 코드 분석 도구 (AI-Powered Code Analysis Tools)]] · [[AI 기반 코드 분석 도구 (AI-Powered Code Analysis Tools)]] · . ## 🤖 LLM 활용 **언제**: Korean documentation 의 reference. 매 main detail 은 [[AI_Powered_Code_Analysis]] 참고. diff --git a/10_Wiki/Topics/AI_and_ML/AI_코드_리뷰.md b/10_Wiki/Topics/AI_and_ML/AI_코드_리뷰.md index dae58c46..3f5b8c1c 100644 --- a/10_Wiki/Topics/AI_and_ML/AI_코드_리뷰.md +++ b/10_Wiki/Topics/AI_and_ML/AI_코드_리뷰.md @@ -460,13 +460,13 @@ If NO critical issues, just say "LGTM 🎉". - **DORA metric 의 game-able**: 매 tool adoption ≠ outcome. ## 🔗 지식 연결 (Graph) -- 부모: [[Code-Review-Modern]] · [[DevSecOps]] · [[Static-Analysis]] -- 변형: [[CodeRabbit]] · [[Greptile]] · [[Sourcery]] · [[Cursor-AI-Review]] -- 응용: [[SAST-Static-Analysis]] · [[Snyk-Code]] · [[SonarQube]] · [[Semgrep-Custom-Rules]] -- AI: [[LLM-Code-Understanding]] · [[Tree-Sitter-Parsing]] · [[Codebase-RAG]] · [[Auto-Fix]] -- 응용: [[GitHub-Actions-CI]] · [[GitLab-CI]] · [[PR-Workflow]] · [[DORA-Metrics]] -- Adjacent: [[Hybrid-Review-Model]] · [[Green-Check-Mark-Syndrome]] · [[Context-Blindness-AI]] -- Related: [[AI-Code-Agent-Patterns]] · [[Cursor-Workflow-Patterns]] · [[ConnectAI-LLM-Tool]] +- 부모: [[CI_CD 파이프라인 및 IDE 통합 보안|DevSecOps]] · [[Static-Analysis]] +- 변형: [[CodeRabbit]] · [[Greptile]] +- 응용: [[Snyk-Code]] · [[SonarQube]] +- AI: [[Codebase-RAG]] · [[Auto-Fix]] +- 응용: [[PR-Workflow]] · [[DORA-Metrics]] +- Adjacent: [[Green-Check-Mark-Syndrome]] +- Related: [[AI-Code-Agent-Patterns]] ## 🤖 LLM 활용 힌트 (How to Use This Knowledge) @@ -499,7 +499,7 @@ If NO critical issues, just say "LGTM 🎉". - **검토 이유:** Manual cleanup (extracted from messy auto-merged document). 매 tool 의 evolution. ## 🧬 중복 검사 (Duplicate Check) -- **기존 유사 문서:** [[Code-Review-Modern]] (parent), [[AI-Powered-Code-Analysis]] (related), [[DevSecOps]] (related). +- **기존 유사 문서:** [[Code-Review-Modern]] (parent), [[AI-Powered-Code-Analysis]] (related), [[CI_CD 파이프라인 및 IDE 통합 보안|DevSecOps]] (related). - **처리 방식:** KEEP (focused on AI-augmented review). - **처리 이유:** 매 AI integration 의 specific. diff --git a/10_Wiki/Topics/AI_and_ML/AI와 기계에게 검열 맡기기_ - 정적 분석 툴 (ESLint Prettier)).md b/10_Wiki/Topics/AI_and_ML/AI와 기계에게 검열 맡기기_ - 정적 분석 툴 (ESLint Prettier)).md index 74c62497..b8fe1f82 100644 --- a/10_Wiki/Topics/AI_and_ML/AI와 기계에게 검열 맡기기_ - 정적 분석 툴 (ESLint Prettier)).md +++ b/10_Wiki/Topics/AI_and_ML/AI와 기계에게 검열 맡기기_ - 정적 분석 툴 (ESLint Prettier)).md @@ -213,9 +213,9 @@ npx biome lint . ## 🔗 Graph - 부모: [[Static-Analysis]] · [[Code-Quality]] -- 변형: [[Biome]] · [[Oxlint]] · [[StyleLint]] (CSS) · [[Pylint]] (Python) · [[clippy]] (Rust) -- 응용: [[AST]] · [[Pre-commit-Hook]] · [[CI-Quality-Gate]] -- Adjacent: [[AI-Code-Review]] · [[AI-Powered-Code-Analysis]] +- 변형: [[Biome]] · [[Oxlint]] · (CSS) · (Python) · (Rust) +- 응용: [[AST]] +- Adjacent: [[AI_코드_리뷰]] · [[AI-Powered-Code-Analysis]] ## 🤖 LLM 활용 **언제**: 매 codebase quality 의 setup. 매 team convention 의 enforce. @@ -231,7 +231,7 @@ npx biome lint . ## 🧪 검증 / 중복 - Verified (industry standard). - 신뢰도 B. -- Related: [[AI-Code-Review]] · [[AI-Powered-Code-Analysis]] · [[AST]]. +- Related: [[AI_코드_리뷰]] · [[AI-Powered-Code-Analysis]] · [[AST]]. ## 🕓 Changelog | 날짜 | 변경 | diff --git a/10_Wiki/Topics/AI_and_ML/API 응답 모델링 및 상태 머신(State Machine) 설계.md b/10_Wiki/Topics/AI_and_ML/API 응답 모델링 및 상태 머신(State Machine) 설계.md index 33476ad0..57d865a2 100644 --- a/10_Wiki/Topics/AI_and_ML/API 응답 모델링 및 상태 머신(State Machine) 설계.md +++ b/10_Wiki/Topics/AI_and_ML/API 응답 모델링 및 상태 머신(State Machine) 설계.md @@ -315,8 +315,8 @@ test('login flow', () => { ## 🔗 Graph - 부모: [[State-Management]] · [[API-Design]] -- 변형: [[State Modeling and API Responses]] · [[XState]] · [[Robot]] -- 응용: [[Statechart-Harel]] · [[Actor-Model]] · [[FSM]] +- 변형: [[XState]] +- 응용: [[FSM]] - Adjacent: [[Discriminated-Union]] · [[useReducer]] · [[Zustand]] ## 🤖 LLM 활용 diff --git a/10_Wiki/Topics/AI_and_ML/API 응답 및 상태 모델링 (State Modeling and API Responses).md b/10_Wiki/Topics/AI_and_ML/API 응답 및 상태 모델링 (State Modeling and API Responses).md index 4fa5cea6..682eb909 100644 --- a/10_Wiki/Topics/AI_and_ML/API 응답 및 상태 모델링 (State Modeling and API Responses).md +++ b/10_Wiki/Topics/AI_and_ML/API 응답 및 상태 모델링 (State Modeling and API Responses).md @@ -277,8 +277,8 @@ function useFetchUser(id: string) { ## 🔗 Graph - 부모: [[TypeScript]] · [[State-Management]] · [[API-Design]] - 변형: [[Discriminated-Union]] · [[Tagged-Union]] · [[Result-Type]] -- 응용: [[XState]] · [[Effect-TS]] · [[Zod-Validation]] -- Adjacent: [[Branded-Types]] · [[Exhaustive-Check]] · [[TanStack-Query]] +- 응용: [[XState]] · [[Effect-TS]] +- Adjacent: [[Branded-Types]] · [[Exhaustive-Check]] ## 🤖 LLM 활용 **언제**: 매 TypeScript app 의 state design. 매 API contract 의 type-safe. diff --git a/10_Wiki/Topics/AI_and_ML/API-backed Image Generation Workflow.md b/10_Wiki/Topics/AI_and_ML/API-backed Image Generation Workflow.md index 018431f1..9a48bd86 100644 --- a/10_Wiki/Topics/AI_and_ML/API-backed Image Generation Workflow.md +++ b/10_Wiki/Topics/AI_and_ML/API-backed Image Generation Workflow.md @@ -134,10 +134,8 @@ def charge(user_id: str, model: str, n: int): **기본값**: FAL FLUX 1.1 Pro Ultra (cost/quality 의 sweet spot 2026). ## 🔗 Graph -- 부모: [[Image Generation]] · [[Diffusion Models]] -- 변형: [[Self-hosted ComfyUI Workflow]] · [[Edge Image Generation]] -- 응용: [[AdSense Revenue Blog Architecture]] · [[E-commerce Product Photography]] -- Adjacent: [[Webhook Patterns]] · [[CDN Asset Pipeline]] · [[Prompt Engineering for Images]] +- 부모: [[Diffusion Models]] +- 응용: [[AdSense Revenue Blog Architecture]] ## 🤖 LLM 활용 **언제**: 매 product feature (avatar, blog hero, marketing) 의 image gen — 매 launch speed 의 priority. diff --git a/10_Wiki/Topics/AI_and_ML/AST(Abstract_Syntax_Tree).md b/10_Wiki/Topics/AI_and_ML/AST(Abstract_Syntax_Tree).md index 2696629d..c21f04a6 100644 --- a/10_Wiki/Topics/AI_and_ML/AST(Abstract_Syntax_Tree).md +++ b/10_Wiki/Topics/AI_and_ML/AST(Abstract_Syntax_Tree).md @@ -4,7 +4,7 @@ title: AST (Abstract Syntax Tree) category: 10_Wiki/Topics status: duplicate canonical_id: wiki-2026-0508-abstract-syntax-tree -duplicate_of: "[[Abstract Syntax Tree (AST)]]" +duplicate_of: "[[Abstract_Syntax_Tree]]" aliases: [] source_trust_level: A confidence_score: 0.9 @@ -16,14 +16,14 @@ github_commit: pending # AST (Abstract Syntax Tree) -> **이 문서는 [[Abstract Syntax Tree (AST)]] 의 중복본입니다.** Canonical 문서로 redirect. +> **이 문서는 [[Abstract_Syntax_Tree]] 의 중복본입니다.** Canonical 문서로 redirect. ## 핵심 요약 - AST = compiler/interpreter 의 source code intermediate representation. - 매 동일 concept — 매 naming variant 의 only difference. ## 🔗 Graph -- 부모: [[Abstract Syntax Tree (AST)]] (canonical) +- 부모: [[Abstract_Syntax_Tree]] (canonical) ## 🕓 변경 이력 | 날짜 | 변경 | diff --git a/10_Wiki/Topics/AI_and_ML/Abstract_Syntax_Tree.md b/10_Wiki/Topics/AI_and_ML/Abstract_Syntax_Tree.md index 0235daa5..9c194fd1 100644 --- a/10_Wiki/Topics/AI_and_ML/Abstract_Syntax_Tree.md +++ b/10_Wiki/Topics/AI_and_ML/Abstract_Syntax_Tree.md @@ -144,10 +144,9 @@ apply_ast_edit(edit) # 매 syntactic safety guaranteed **기본값**: 매 cross-language tooling — tree-sitter. Python-only — `ast` + LibCST. ## 🔗 Graph -- 부모: [[Compiler]] · [[Programming Language Theory]] -- 변형: [[Concrete Syntax Tree]] · [[HIR]] · [[MIR]] · [[SSA]] -- 응용: [[Linter]] · [[Codemod]] · [[Static Analysis]] · [[LSP]] · [[Tree-sitter]] -- Adjacent: [[Lexer]] · [[Parser Combinator]] · [[Visitor Pattern]] +- 변형: [[Concrete Syntax Tree]] +- 응용: [[Linter]] · [[Static Analysis]] +- Adjacent: [[Visitor Pattern]] ## 🤖 LLM 활용 **언제**: 매 codemod, 매 lint rule, 매 LLM-output 의 syntactic validation, 매 IDE refactor. diff --git a/10_Wiki/Topics/AI_and_ML/Academic-Integrity.md b/10_Wiki/Topics/AI_and_ML/Academic-Integrity.md index 86ea6c95..6811b26f 100644 --- a/10_Wiki/Topics/AI_and_ML/Academic-Integrity.md +++ b/10_Wiki/Topics/AI_and_ML/Academic-Integrity.md @@ -118,9 +118,6 @@ diff prereg/hypothesis.md paper/section_3_hypothesis.md ## 🔗 Graph - 부모: [[Research Ethics]] · [[Scientific Method]] -- 변형: [[Open Science]] · [[Reproducibility Crisis]] -- 응용: [[Pre-registration]] · [[Peer Review]] · [[Authorship Criteria (CRediT)]] -- Adjacent: [[AI Disclosure Policy]] · [[Citation Hygiene]] · [[Data Provenance]] ## 🤖 LLM 활용 **언제**: 매 prose editing, literature summarization, code review — 매 disclosure 와 함께. diff --git a/10_Wiki/Topics/AI_and_ML/Accessibility.md b/10_Wiki/Topics/AI_and_ML/Accessibility.md index 2ad521f4..db6b1c46 100644 --- a/10_Wiki/Topics/AI_and_ML/Accessibility.md +++ b/10_Wiki/Topics/AI_and_ML/Accessibility.md @@ -2,173 +2,26 @@ id: wiki-2026-0508-accessibility title: Accessibility (a11y) category: 10_Wiki/Topics -status: verified -canonical_id: self -aliases: [a11y, Web Accessibility, Inclusive Design, WCAG] -duplicate_of: none +status: duplicate +canonical_id: wiki-2026-0508-accessibility-a11y +duplicate_of: "[[Accessibility (A11y)]]" +aliases: [] source_trust_level: A -confidence_score: 0.95 -verification_status: applied -tags: [accessibility, a11y, wcag, aria, inclusive-design, frontend] -raw_sources: [] -last_reinforced: 2026-05-10 +confidence_score: 0.9 +verification_status: redirected +tags: [duplicate] +last_reinforced: 2026-05-20 github_commit: pending -tech_stack: - language: HTML/CSS/TypeScript - framework: ARIA/WCAG 2.2/EAA --- # Accessibility (a11y) -## 매 한 줄 -> **"매 user 의 disability spectrum 의 across 의 first-class UX"**. Accessibility = 매 perceivable / operable / understandable / robust (POUR) 의 product 의 design — 매 screen reader, keyboard-only, low vision, cognitive, motor 의 모두 의 cover. 2026 EU EAA (June 28, 2025 enforcement) 의 매 legal requirement 의 됨 — 매 nice-to-have 의 X. - -## 매 핵심 - -### 매 POUR (WCAG 4 principle) -- **Perceivable**: 매 alt text, caption, contrast. -- **Operable**: 매 keyboard, focus, target size. -- **Understandable**: 매 readable, predictable, error-helpful. -- **Robust**: 매 assistive tech 의 compatible, semantic HTML. - -### 매 WCAG 2.2 (current standard) -- **Level A**: 매 minimum (alt text, lang attr, no keyboard trap). -- **Level AA**: 매 industry default (contrast 4.5:1, focus visible, target 24x24). -- **Level AAA**: 매 specialized context. - -### 매 disability category -- **Visual** (blind, low vision, color blind) — screen reader, zoom, contrast. -- **Auditory** — caption, transcript. -- **Motor** — keyboard, switch, voice control, large target. -- **Cognitive** — plain language, predictable nav, no time limit. -- **Vestibular / seizure** — `prefers-reduced-motion`, no flash >3Hz. - -### 매 응용 -1. Public website (legal in EU/US/JP/KR). -2. Government / education (Section 508, EN 301 549). -3. Mobile app (iOS Accessibility, Android TalkBack). -4. Game (Xbox Accessibility Guidelines). -5. AI interface (screen-reader-friendly streaming output). - -## 💻 패턴 - -### Semantic HTML > ARIA -```html - - - - -
Save
-``` - -### Skip link -```html - - -``` - -### Accessible form field -```html - - -

We never share your email.

- -``` - -### Live region (announce dynamic update) -```html -
- -``` - -### Focus management (modal) -```ts -function openModal(modal: HTMLElement) { - const prev = document.activeElement as HTMLElement; - const focusables = modal.querySelectorAll( - 'a[href], button, input, select, textarea, [tabindex]:not([tabindex="-1"])' - ); - focusables[0]?.focus(); - modal.addEventListener("keydown", (e) => { - if (e.key === "Escape") { modal.hidden = true; prev?.focus(); } - if (e.key === "Tab") { - // 매 trap focus - const first = focusables[0], last = focusables[focusables.length - 1]; - if (e.shiftKey && document.activeElement === first) { last.focus(); e.preventDefault(); } - else if (!e.shiftKey && document.activeElement === last) { first.focus(); e.preventDefault(); } - } - }); -} -``` - -### Reduced motion -```css -@media (prefers-reduced-motion: reduce) { - *, *::before, *::after { animation: none !important; transition: none !important; } -} -``` - -### Color contrast check -```ts -import { hex } from "wcag-contrast"; -const ratio = hex("#777", "#fff"); // 4.48 — AA fails for normal text (need ≥4.5) -``` - -### Automated test (Playwright + axe) -```ts -import AxeBuilder from "@axe-core/playwright"; -test("no a11y violations", async ({ page }) => { - await page.goto("/"); - const r = await new AxeBuilder({ page }).analyze(); - expect(r.violations).toEqual([]); -}); -``` - -## 매 결정 기준 -| 상황 | Approach | -|---|---| -| Native semantic exists | Use it (button, nav, main, h1-h6) | -| Custom widget required | ARIA Authoring Practices pattern | -| Icon-only button | `aria-label` + visible focus ring | -| Decorative image | `alt=""` (not omit) | -| Color 의 only convey info | Add text/icon/pattern | -| Time-sensitive UI | Offer extend/disable | - -**기본값**: WCAG 2.2 Level AA + automated axe in CI + manual screen reader spot-check. +> **이 문서는 [[Accessibility (A11y)]] 의 중복본입니다.** Canonical 문서로 redirect. ## 🔗 Graph -- 부모: [[Frontend Engineering]] · [[Inclusive Design]] -- 변형: [[Mobile Accessibility]] · [[Game Accessibility]] -- 응용: [[Design System]] · [[Component Library]] · [[Form UX]] -- Adjacent: [[ARIA]] · [[Screen Reader]] · [[Keyboard Navigation]] · [[Color Theory]] +- 부모: [[Accessibility (A11y)]] (canonical) -## 🤖 LLM 활용 -**언제**: 매 alt-text generation (vision LLM), 매 plain-language rewrite, 매 ARIA pattern lookup. -**언제 X**: 매 a11y compliance 의 sole authority — 매 human + screen reader test required. - -## ❌ 안티패턴 -- **`role="button"` on div**: 매 keyboard handler missing — 매 native `