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SkillOpt Deep Technical Breakdown: Training Agent Skill as a Neural Network
A complete source-code-level analysis of the SkillOpt framework published by Microsoft Research. Starting from 18 Deep Learning analogies, it deeply breaks down the six-stage training loop (Rollout→Reflect→Aggregate→Select→Update→Gate), the SkillOpt-Sleep deployment engine, OpenClaw integration in practice, and the 52/52 all-win experimental results.
AI Engineering from Scratch Deep Dive: 435 Lessons × 20 Stages
Complete breakdown of GitHub Trending #5 project AI Engineering from Scratch: curriculum structure under the Build, Don't Import philosophy, six-beat rhythm teaching method, 20-stage technical roadmap, in-depth analysis of Phase 14 Agent engineering, and its impact on AI engineers' career development.
RAG In-Depth Principles and Practice: A Complete Guide from Chunking to Rerank
The complete tech stack for Retrieval-Augmented Generation (RAG): Embedding selection, Chunking strategies, vector database comparison, Rerank optimization, with practical code examples.