Artificial Intelligence
76 items from owainlewis/awesome-artificial-intelligence ★16,654
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Continue continue.dev
Open-source AI code assistant. Connect any model and any context to create custom autocomplete and chat experiences inside the IDE. #opensource
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aider aider.chat
AI pair programming in your terminal, supporting multiple LLM providers. #opensource
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Deep Learning deeplearningbook.org
Yet halfway through the book, it contains satisfying math content on how to think about actual deep learning.
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Deep Learning: Foundations and Concepts bishopbook.com
A probability-grounded treatment by Christopher and Hugh Bishop.
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Effective Context Engineering for AI Agents anthropic.com
How to select, structure, and manage the context available to long-running agents.
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Building Effective Agents anthropic.com
Anthropic's practical patterns and tradeoffs for agentic systems.
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OpenCode opencode.ai
The open-source AI coding agent. #opensource
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Build a Large Language Model (From Scratch) manning.com
A guide to building your own working LLM, by Sebastian Raschka.
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Claude Code code.claude.com
Anthropic's agentic coding tool that lives in your terminal and helps you turn ideas into code.
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Attention Is All You Need arxiv.org
(AIAYN) - Introducing multi-head self-attention neural networks with positional encoding to do sentence-level NLP without any RNN nor CNN - this paper is a must-read (also see this explanation and this visualization of the paper).
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fast.ai - Practical Deep Learning For Coders course.fast.ai
A code-first introduction to deep learning.
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Machine Learning Bookcamp manning.com
A project-based introduction to building and deploying machine learning systems by Alexey Grigorev.
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Karpathy's Neural Networks: Zero to Hero youtube.com
Build neural networks and language models from first principles.
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Speech and Language Processing web.stanford.edu
The continuously updated NLP reference by Dan Jurafsky and James Martin.
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Reinforcement Learning: An Introduction web.stanford.edu
Sutton and Barto's foundational treatment of reinforcement learning concepts and algorithms.
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Understanding Deep Learning udlbook.github.io
Theory, intuition, and practical notebooks by Simon Prince.
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The 100-Page Language Models Book thelmbook.com
A concise, technical introduction by Andriy Burkov.
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Promptfoo promptfoo.dev
Test cases, assertions, model comparisons, and red-team checks for LLM applications.
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LLM Engineer's Handbook packtpub.com
LLMOps, fine-tuning, serving, and production workflows.
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Designing Machine Learning Systems oreilly.com
Scalable, maintainable machine learning systems by Chip Huyen.
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AI Engineering oreilly.com
Building applications with foundation models by Chip Huyen.
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Running Agents openai.github.io
Lifecycle, session, exception, and durable-execution patterns in the OpenAI Agents SDK.
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Human-in-the-Loop openai.github.io
Pause, inspect, approve, reject, and resume tool calls without losing agent state.
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OpenAI Agents SDK openai.github.io
A small SDK for tools, handoffs, guardrails, tracing, and agent orchestration.
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Codex Orchestration with Symphony openai.com
A reference architecture that turns project work into isolated, observable coding-agent runs.
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Harness Engineering openai.com
OpenAI's field report on building software with coding agents, repository constraints, automated checks, and human steering.
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Model Context Protocol modelcontextprotocol.io
The open specification for connecting AI applications to external tools, data sources, prompts, and interactive apps.
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Made With ML madewithml.com
An open course on designing, developing, deploying, and iterating on production ML systems.
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Hands-On Large Language Models llm-book.com
A visual and practical guide by Jay Alammar and Maarten Grootendorst.
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Microsoft Agent Framework learn.microsoft.com
Microsoft's successor to AutoGen and Semantic Kernel for agents and graph-based workflows.
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