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Recommends 5 YouTube creators focused on AI tutorials and reviews, covering hands-on Agent usage, model comparisons, frontend design, and other valuable content.
A tweet promoting the finale of the Hermes Agent Masterclass series by tonbistudio, covering security and built-in features for minimizing exposure.
Otary, a Python library for image and geometry processing, now has tutorials available to help users understand its capabilities.
June Chinese Twitter "Hardcore Top Posts" TOP 10, summarizing 10 high-quality long-form posts covering AI engineering, investment research, crypto prediction markets, Codex tutorials, etc., each with a score and link.
A detailed technical guide explaining all the elements visible in the htop and top command outputs on Linux, including load average, process states, memory usage, and more.
A Twitter thread presents a free AI engineering learning path using resources from Harvard, Andrew Ng, Andrej Karpathy, and others, emphasizing fundamentals over frameworks.
Recommendation of courses for learning AI and ML, making the process easier.
Recommends 10 free AI learning resources, including 3Blue1Brown, Karpathy's course, Andrew Ng's newsletter, podcasts, Kaggle, and Hugging Face, claiming you can learn more in 30 days than a paid bootcamp.
Introduces Sebastian Raschka's educational resources on GitHub, including hit books and tutorials like 'LLMs from Scratch'. He is a top educator in the ML/LLM field with a large number of high-quality open-source repositories.
A GitHub repository curating project-based programming tutorials across multiple languages, helping developers build applications from scratch.
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.
A curated list of X/Twitter accounts that explain AI concepts and teach how to build tools, agents, and frameworks, covering retrieval, testing, fine-tuning, and more.
Nir Diamant's genai_agents repository on GitHub, which has surpassed 22k stars, offers over 50 tutorials covering AI agent patterns from beginner to advanced, including conversational, multi-agent, RAG, and business agents built with frameworks like LangGraph, LangChain, AutoGen, CrewAI, and OpenAI Swarm.
Clone-Wars is a GitHub repository with over 100 open-source clones of popular apps like Netflix, Spotify, and Instagram, providing free source code, live demos, and tech stacks for developers to learn from.
A collection of 17 free guides covering various aspects of using Claude, from basic prompting to advanced features like Claude Code and Claude Skills, aimed at helping users learn quickly.
AI Spark has fully open-sourced its knowledge base, containing 247 articles across six major modules (from beginner's guide to industry insights), continuously updated, suitable for AI learners.
A user recommends several AI bloggers worth following long-term, including Baoyu, Karpathy, Raschka, Willison, Howard, etc., covering AI tools, model principles, and practical experience.
Introducing the codecrafters-io/build-your-own-x repository, a collection of tutorials for building various technologies from scratch, helping developers understand underlying principles through hands-on practice.
Lathe is an open-source tool that generates hands-on, multi-part technical tutorials from any prompt using LLMs, aiming to teach users rather than just provide answers. It includes a local UI for working through tutorials and supports integration with Claude Code, Cursor, and Codex.
A collection of 50+ hands-on AI engineering tutorials covering AI agents, RAG, MCP, OCR, voice AI, and more, open-sourced with 1k+ GitHub stars.