2919 related articles
TutorialsDeep analysis of the GitHub project awesome-LLM-resources with 8,200+ Stars, covering multimodal AI, Agents, MCP protocol, model training, inference optimization, and coding assistants.
TutorialsSimon Willison built a complete iNaturalist observation display tool using only his phone and Claude Code while camping. A breakdown of the three-layer architecture: Python CLI, Git Scraping automation, and pure frontend display.
Product ReviewsStock-MCP is an open-source MCP-based financial data server supporting China A-shares, US stocks, and crypto. Learn its core features, architecture, and use cases for building AI investment research assistants.
TutorialsDeep dive into the open-source prompt-engineering-skills project covering model-specific prompt patterns and best practices for Claude, ChatGPT GPT-5.5, Gemini, and more.
Product ReviewsUnsloth is an open-source LLM training tool with 63K+ GitHub stars, supporting Gemma 4, Qwen 3, DeepSeek. Reduces VRAM by 50–80%, enabling RTX 4090 to fine-tune 7B models with a no-code Web UI.
Tech FrontiersMoonshot AI open-sources K2-Vendor-Verifier to verify third-party Kimi K2 API vendor inference accuracy. Learn how this tool helps developers detect over-quantization, model substitution, and other API market risks.
Expert OpinionsThe Zig programming language enforces the strictest anti-LLM policy in open source, banning AI in PRs and Issues. Its "Contributor Poker" philosophy reveals why: open source value lies in cultivating people, not merging code.
Tech FrontiersGitHub project CL4R1T4S leaked system prompts from ChatGPT, Claude, Gemini and other major AI products, earning 25,000+ Stars and igniting debate over AI transparency vs. security.
TutorialsSimon Willison built an iNaturalist observation display tool on his phone while camping using Claude Code, Git Scraping, and GitHub Actions with zero servers.
TutorialsSimon Willison built a complete iNaturalist observation tool during camping using his phone and Claude Code. A deep dive into the three-layer architecture: Python CLI, Git Scraping, and AI-generated frontend — all on GitHub with zero servers.
Product ReviewsComfyUI-Copilot is an open-source AI assistant plugin supporting natural language workflow building, smart node recommendations, and parameter optimization. With 5,100+ GitHub stars, it dramatically lowers the barrier to Stable Diffusion workflow creation.
Product ReviewsDeep dive into awesome-LLM-resources, a GitHub 8K-star project covering multimodal AI, AI Agents, MCP protocol, model training/inference, and AI coding tools — a one-stop LLM learning guide.
ResearchSVDQuant, an ICLR 2025 Spotlight paper, achieves 4-bit diffusion model quantization via low-rank decomposition that absorbs outliers, reducing memory by 75%. Open-source engine Nunchaku (3800+ stars) enables FLUX inference on consumer GPUs like RTX 4060.
Deep DivesA deep dive into the relationships between AI Agent, MCP protocol, Function Calling, and Prompt. From basics to full architecture, build a clear cognitive framework for AI app development.
TutorialsComplete guide to building an AI digital human Agent, covering Agent, RAG, WebRTC, and Docker deployment with architecture design and engineering best practices.
Tech FrontiersDatasette 1.0a29 preview released, fixing a segfault race condition introduced by test optimization. Developer Simon Willison used GPT-5.5 xhigh to help reproduce the issue, showcasing AI debugging in practice.
Tech FrontiersDeep dive into OpenAI's Symphony: assigning an independent Codex agent to each task for multi-agent parallel programming. Explore its architecture, developer impact, and industry trends.
TutorialsA battle-tested AI project evaluation framework covering 5 levels and 30 core metrics—model quality, UX, system efficiency, business value, and data loops—to scientifically assess LLM Agent performance.
Tech FrontiersGoogle officially releases Android 17 with nine new features including AI voice input, vibe-coded widgets, Emoji overhaul, and screen time management tools.
Deep DivesDeep dive into how Augment Code uses Mercury 2 dedicated subagents to replace traditional KV cache, achieving 82% faster context compaction, 90% lower summarization costs, and 30% reduced LLM spending.