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Introduces five major reasons to learn the Gleam programming language (cross-platform, type safety, concise design, functional paradigm, active ecosystem) along with practical introductory resources, from an official website tour to Exercism.
Recommend following OpenAI Codex-related English official accounts, developer leads, and official resources to help Chinese developers get the latest Codex information and usage tips.
Recommends 12 YouTube channels, claiming these channels will provide more knowledge in 2026 than a four-year university degree, encouraging users to bookmark them.
A Twitter thread by @systemdesignone curates 15 essential AI engineering concepts, including a deep dive into AI agent memory, state, and consistency, with links to a newsletter for further learning.
A curated list of major books on CUDA programming covering beginner to advanced topics, including C++ and Python, with focus on practical resources for NVIDIA GPU parallel computing.
Recommends YouTube Agent learning resources from top AI experts like Mu Li, Hung-yi Lee, Andrej Karpathy, Hugging Face official channel, Andrew Ng, Song Han, etc., covering building multi-agent frameworks from scratch, open-source code, practical cases, etc.
Introduces a GitHub repository called Awesome Math that organizes free high-quality resources (videos, textbooks, problem sets) across 30+ math fields including algebra, geometry, analysis, etc. Updated continuously, suitable for math learners.
A curated learning stack for AI covering LLMs, agents, MCP, prompt engineering, RAG, and vector databases, including videos, repositories, guides, books, papers, and courses. Also provides an accessible explanation of what large language models are and how they work.
A curated list of 10 GitHub repositories recommended for learning AI engineering in depth, covering topics like machine learning basics, LLM applications, and RAG techniques.
A curated roadmap of free educational resources and guides for mastering Anthropic's Claude platform, covering chat, code, cowork, MCP, and design.
A link to a one-hour comprehensive course on using Claude to build and automate various tasks.
A curated list of 16 articles recommended for learning system design fundamentals from scratch.
A curated list of 11 links shared daily to help people learn AI evaluation techniques, covering evals, observability, LLM-as-judge, and agent evaluation.