8 posts in total
Hermes Agent is a self-evolving agent framework from NousResearch, supporting multiple entry points, 47 tools and 19 toolsets, equipped with SQLite+FTS5 session storage, making AI agent development unprecedentedly simple.
If you're tired of OpenClaw's massive codebase and security concerns but want to keep the 'AI helps me get things done' core experience, CoPAW is currently the most comprehensive Chinese-friendly alternative solution.
Comprehensive analysis of Claude Code intelligent coding assistant architecture design, covering multi-layer architecture, state management, query engine, tool system, task management and other core modules, deeply understanding best practices of production-grade AI Agent systems.
Deep dive into the core mechanisms of Transformer models, understanding how Self-Attention works and the critical role of tokens in sequence generation. This article will take you from underlying principles to practical applications of Transformer.
Comparative analysis of mainstream tokenization algorithms including BPE, WordPiece, and Unigram, exploring the impact of different tokenization strategies on model performance and how to choose the right tokenization scheme.
Master core techniques of Prompt design including Few-Shot Learning, Chain-of-Thought, Role Prompting and other advanced techniques to improve large model output quality.
Deep dive into the core components of AI Agents including task planning, tool usage, memory systems, and understand how to build agents capable of autonomously completing complex tasks.
Detailed explanation of Retrieval-Augmented Generation (RAG) technical principles, comparison of performance characteristics of mainstream vector databases, and sharing practical experience in building efficient knowledge base Q&A systems.