AI Resources

The original transformer paper by Vaswani et al. that introduced the architecture powering modern large language models. Essential reading for understanding LLM foundations.

Foundational paper introducing the ReAct pattern for combining reasoning traces with action execution in language model agents.

Research on how language models can learn to call external APIs and tools autonomously. Core reading for tool-use in agentic AI.

Free practical deep learning course with a top-down, hands-on approach. Great for building intuition about modern ML models before diving into agentic architectures.

Stanford's NLP course, freely available online. Covers transformers, language models, and advanced NLP — strong foundation for understanding LLMs.

Free short courses on LLM application development, prompt engineering, RAG, agents, and more. Taught by practitioners.

Documentation for LangChain, one of the most widely used frameworks for building LLM-powered applications and agents.

Documentation for LlamaIndex, a framework focused on building RAG systems and connecting LLMs to external data sources.

Interactive environment for experimenting with OpenAI models, system prompts, and function calling. Excellent for learning prompt engineering hands-on.

Jay Alammar's visual walkthrough of the transformer architecture. One of the most widely referenced explanations of attention mechanisms.

Comprehensive overview of LLM-powered autonomous agents by OpenAI's Lilian Weng. Covers planning, memory, tools, and agent patterns.

Documentation and tutorials for the Hugging Face ecosystem — transformers, datasets, model hub, inference endpoints, and more.

Open-access preprint server for AI and ML research. Read the latest papers before formal publication.

Weekly newsletter from Andrew Ng's deeplearning.ai covering the most important AI news, research, and developments.

Award-winning science journalism covering AI, mathematics, and computer science. Accurate, in-depth, and accessible.

Ground-up video series building neural networks from scratch, culminating in a GPT implementation. The clearest explanation of transformers available.

Beautiful visual explanations of neural networks, backpropagation, and attention from 3Blue1Brown.

Explore the most talked-about AI topics with matching TED talks and AI insights. Every day surfaces ideas trending across the web, paired with the most relevant talks and AI-powered summaries.