free-resource

A free online book covering computer science from the bottom up, written by Ian Wienand and available in PDF, EPUB, and source code formats.

A 16-hour free YouTube playlist created by @0x0SojalSec teaches how to build a DeepSeek model from scratch, covering papers, theory, and code implementation including attention mechanisms, mixture of experts, and positional encodings.

Recommends a free AI course from Stanford University. It takes just 1.5 hours to break down how Claude and ChatGPT work, helping you deeply understand AI's underlying logic to get more out of them.

Announces the free availability of the 'Competitive Programmer’s Handbook', covering 30 important DSA topics for tech interview preparation.

An interactive, 3D, step-by-step visualizer that shows a token moving through every transformer layer, from embedding to output, for free.

A tweet promoting a 38-page PDF guide on building autonomous LLM agents, offering a free resource for learning about agentic AI systems.

A comprehensive free guide explaining LLMs from first principles, covering tokens, transformers, attention, fine-tuning, and local deployment.

A comprehensive free online guide covering hardware and software for running LLMs locally is now available, detailing setups from laptops to clusters.

A tweet promoting a free deep learning resource with 68 interactive Python notebooks covering topics from basics to advanced techniques like GANs and diffusion models, ideal for self-learners.

Promotion of a free resource on mathematical and statistical methods for data science and machine learning, with instructions to engage for access.

Andrej Karpathy shares his straightforward approach to working with AI, emphasizing plain language over complex prompt engineering, and predicts that by 2026 engineers who dismiss LLMs will lose to juniors who use them effectively.

A senior Google engineer released a free 421-page document covering agentic design patterns for AI systems, with code-backed chapters on prompt chaining, multi-agent coordination, guardrails, and reasoning.

A free downloadable reference card covering the process of building and deploying a website using AI tools, written from first principles.

Google has released a free masterclass on GPUs, covering GPU architecture and deep learning acceleration.

Google engineer publicly released the 421-page Agentic Design Patterns document for free, recommending key chapters for independent developers including MCP protocol, guardrails evaluation, and multi-agent patterns.

A senior Google engineer has freely released a 421-page AI construction guide, 'Agentic Design Patterns,' which includes code and can be directly used in production environments.

A 277-page PDF guide revealing insights into Large Language Models, shared via a Twitter thread by Matt Dancho.

A free GitHub repository (46k stars) aggregates English learning resources. The author, a top scorer in the Gaokao English exam, aims to help those who have been working for years to restart their English learning, replacing expensive training institutions.

A comprehensive, open-source AI engineering curriculum with 435 lessons across 20 phases, covering everything from linear algebra to multi-agent systems, available for free on GitHub.

A free comprehensive step-by-step projects roadmap for becoming an AI researcher, covering topics from tokenizers to full capstone model systems.