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A curated stack of 20 books across 5 categories for learning AI/ML from fundamentals to production systems.
A curated list of resources for mastering LLM cache management, including explanations, tutorials, and research papers on KV cache, prefix caching, and related techniques.
A curated list of 50 free websites covering tools for video downloading, image editing, temporary email, research, and more, presented as a Twitter thread.
A curated list of 50 AI tools for various tasks in 2026, including chatbots, video generators, design tools, and automation platforms.
Recommends 4 public GitHub repos covering AI side hustle directions, MVP validation, indie development resources, and 300+ AI projects that can be redeveloped, helping users go from finding needs to product monetization.
A seasoned developer shares a curated list of computer books accumulated over many years, covering mainstream languages such as Python, C++, Java, and Rust, along with multiple technical fields, emphasizing the importance of building a solid foundation for solving complex problems.
A Twitter thread sharing a curated personal library of high-quality blogs, podcasts, papers, and projects on AI evaluations (evals), inviting additions.
Recommends 15 YouTube channels for learning AI in 2026, categorized by learning stage, with study path advice for beginners, engineering projects, and cutting-edge trends.
Recommend 11 high-quality open-source projects on GitHub covering AI agent frameworks, AI programming, memory systems, research automation, and quantitative investment tools, designed to help developers get started quickly and boost efficiency.
A tweet thread compiling essential resources for AI engineering, covering dataset engineering, evaluations, context engineering, agent memory, MCP, observability, inference optimization, and security.
A curated list of English Twitter accounts worth following in AI, covering large language models, entrepreneurship, AI marketing, agents, and more.