Papers, courses, books, communities, podcasts, newsletters — we curate every worthwhile piece of content, organized by learning stage, sorted by time, archived by topic.
In learning order. Each has a summary, reading value, and recommendation.
Princeton / Google · Yao et al.
For the first time systematically proposed the "think-act-observe" loop. The foundational work of Agent paradigms.
Google · Wei et al.
Revealed that "think step by step" significantly improves LLM performance on complex reasoning.
Google · Vaswani et al.
The original Transformer paper. The foundation of all modern LLMs and Agents.
Meta AI · Lewis et al.
Foundational RAG work: enables LLMs to access external knowledge bases.
OpenAI
Function Calling capability description, foundation of modern Agent tool calling.
Princeton · Yao et al.
Extends CoT to tree structure with backtracking and branching exploration.
Northeastern · Shinn et al.
Lets Agents self-improve by "reflecting on failure". Source of Self-Refine, Reflexion modes.
OpenAI
Inference-time compute revolution: more thinking tokens = better performance.
UC Berkeley · Packer et al.
Revolutionary hierarchical memory: Agent as OS with layered memory tiers.
Microsoft Research
Combines knowledge graphs with RAG for global questions.
Tsinghua · Liu et al.
Most authoritative Agent evaluation benchmark: multi-scenario, multi-task.
De facto standard for evaluating coding Agents, based on real GitHub issues.
Andrew Ng's team: LangChain, Function Calling, Agent short courses (1-2 hours each).
Free · ShortDeepLearning.AI + AWS. 3-week course covering LLM and Agent fundamentals.
SystematicFree NLP/Agent courses. From Transformer basics to Smolagents practice.
FreeMartin Kleppmann. Classic bible of data system design.
Michael Lanham · Manning 2025. A practical book specifically on AI Agent design.
John Berryman et al. Deep-dive on prompt engineering essentials.
O'Reilly short books covering RAG, Agent, Embeddings.
Follow @hwchase17, @yann_lecun, @karpathy and other top practitioners.
AI Agent topics on Jike, Zhihu, Juejin. WeChat Reading academic accounts.
Sam Witteveen, James Briggs, Dave Ebbelaar for high-quality Agent tutorials.
Reddit's local LLM and Agent sub-community.
OpenAI's official forum for Function Calling, Assistants API questions.
Jack Clark · Weekly curated AI events and papers.
5 minutes of this week's AI news. Minimalist style.
Official updates, new features, user stories.
Deep dives on latest AI papers and OSS projects.
Comprehensive daily, from news to tools.
Sebastian Raschka · Academic deep dives.