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Jaesol Shin

Jaesol Shin

Towards observable, reliable, scalable AI

GitHub

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All Posts 26 Research 1 AI 17 Development 3 DB 5

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AI8 PostgreSQL8 Benchmark7 RAG6 LLM4 zsh4 Claude Code4 OpenAI4 GraphRAG4 LightRAG4 Multi-account3 Dotfiles3 Configuration3 Developer Workflow3 API3 Productivity2 GPT-52 DeepSeek2 GraphDB2 RCTE2 Neo4j2 Apache AGE2 Recursive CTE2 Markdown2 PDF2 Agent2 Self-Improvement2 POMDP2

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2026 26

#Agent

한국어

May 22, 2026 · AI

Memory as Adaptation

Why agent memory moved from RAG storage to the foundation of policy adaptation

#AI #Agent #Memory #RAG

May 22, 2026 · AI

Weights, Prompts, Codes as Parameters

Weights, prompts, and code as parameters at different layers of a learnable policy space

#AI #Agent #LLM #POMDP
Jaesol Shin

Jaesol Shin

Towards observable, reliable, scalable AI

GitHub

Categories

All Posts 26 Research 1 AI 17 Development 3 DB 5

Tags

AI8 PostgreSQL8 Benchmark7 RAG6 LLM4 zsh4 Claude Code4 OpenAI4 GraphRAG4 LightRAG4 Multi-account3 Dotfiles3 Configuration3 Developer Workflow3 API3 Productivity2 GPT-52 DeepSeek2 GraphDB2 RCTE2 Neo4j2 Apache AGE2 Recursive CTE2 Markdown2 PDF2 Agent2 Self-Improvement2 POMDP2

Archive

2026 26