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Builder Foundations

Start here for the quickest ramp from concepts to working systems.

Agentic Systems

Learn planning, tool use, memory design, and orchestration patterns.

Production Readiness

Ship safely with evaluation, latency tuning, and reliability playbooks.

Research to Practice

Bridge the gap between papers and production-ready implementations.

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Article

Machine Learning Interviews

In-depth article on interview questions, career advice.

interview-questions career-advice +1
Article

Introducing Claude

In-depth article on architecture.

architecture article
Article

Introducing GPT-4

In-depth article on architecture.

architecture article
Article

The Illustrated GPT-2

In-depth article on transformers, architecture.

transformers architecture +1
Open Source

Chroma

Open-source project for rag, ai tools.

rag open-source +1
Open Source

Milvus

Open-source project for rag, ai tools.

rag open-source +1
Open Source

Weaviate

Open-source project for rag, ai tools.

rag open-source +1
Open Source

Qdrant

Open-source project for rag, ai tools.

rag open-source +1
Open Source

Whisper

Open-source project for speech.

speech open-source
Open Source

Instructor

Open-source project for structured output.

structured-output open-source
Open Source

Guidance

Open-source project for prompting.

prompting open-source
Open Source

LiteLLM

Open-source project for production, api.

production api +1
Open Source

CrewAI

Open-source project for agents.

agents open-source
Open Source

AutoGen

Open-source project for agents.

agents open-source
Open Source

DSPy

Open-source project for prompting.

prompting open-source
Open Source

Ragas

Open-source project for rag, evaluation.

rag evaluation +1
Open Source

LM Evaluation Harness

Open-source project for evaluation, papers.

evaluation papers +1
Open Source

OpenAI Evals

Open-source project for evaluation, production.

evaluation open-source +1
Open Source

llama.cpp

Open-source project for inference.

inference open-source
Open Source

vLLM

Open-source project for production, inference.

production inference +1
Open Source

Haystack

Open-source project for rag.

rag open-source
Open Source

LangGraph

Open-source project for agents.

agents open-source
Open Source

LlamaIndex

Open-source project for rag, agents.

rag agents +1
Open Source

LangChain

Open-source project for agents, architecture.

agents architecture +1
Tutorial

vLLM Documentation

Step-by-step guide for production, inference.

production inference +1
Tutorial

PyTorch Tutorials

Step-by-step guide for architecture.

tutorial architecture
Tutorial

LangGraph Documentation

Step-by-step guide for agents, production, architecture.

agents production +2
Tutorial

Milvus Documentation

Step-by-step guide for rag, production, ai tools.

rag production +2
Tutorial

Qdrant Documentation

Step-by-step guide for rag, production, ai tools.

rag production +2
Tutorial

OpenAI Cookbook

Step-by-step guide for api, ai tools.

api tutorial +1
Course

LLMOps

Structured course covering production, evaluation, mlops.

production evaluation +2
Tutorial

Streamlit for ML Applications

Build and share data science apps quickly. Turn Python scripts into interactive web apps for ML models.

demo visualization +3
Tutorial

Gradio - Build ML Demos Quickly

Create beautiful web demos for ML models in minutes. Perfect for sharing your work and prototyping.

demo visualization +3
Tutorial

Pinecone Vector Database Guide

Purpose-built vector database for AI applications. Powers semantic search, RAG, and similarity matching.

vector-search database +2
Tutorial

Building RAG Systems - Complete Guide

Retrieval Augmented Generation: combine vector search with LLMs for enhanced AI responses. Production-ready patterns.

rag vector-search +3
Article

Papers with Code - Latest AI Research

Browse state-of-the-art AI research papers with code implementations. Stay updated with latest advances.

research papers +3
Article

MIT AI Research Publications

MIT's AI research covering machine learning, computer vision, NLP, and robotics. World-class research.

research papers +3
Article

Stanford AI Lab Research Papers

Latest AI research from Stanford: computer vision, NLP, robotics, and more. Cutting-edge publications.

research papers +3
Article

AI Alignment: Why It's Hard

Deep dive into the AI alignment problem: ensuring AI systems do what we want them to do.

alignment ai-safety +2
Article

Bias in Machine Learning Systems

Understand algorithmic bias: sources, detection, mitigation strategies, and building fair ML systems.

bias fairness +2
Article

Microsoft Responsible AI Principles

Framework for building responsible AI: fairness, reliability, privacy, inclusiveness, transparency, and accountability.

responsible-ai ethics +2
Course

Practical AI Ethics by Fast.ai

Course on ethical considerations in AI development, bias detection, fairness, and responsible AI practices.

ethics responsible-ai +2
Article

Model Monitoring and Observability

Monitor ML models in production: detect drift, track performance, and maintain model health over time.

mlops production +2
Tutorial

Docker for Machine Learning

Containerize ML applications with Docker. Ensure reproducibility and easy deployment across environments.

deployment production +2
Course

Full Stack Deep Learning

Build and deploy production ML systems. Covers MLOps, testing, infrastructure, and team collaboration.

mlops production +3
Tutorial

FastAPI for ML Model Deployment

Learn to deploy machine learning models as REST APIs using FastAPI. Fast, modern, and production-ready.

fastapi deployment +3
Article

MLOps Principles and Best Practices

Comprehensive guide to MLOps: model deployment, monitoring, CI/CD for ML, and scalable AI systems.

mlops deployment +2
Article

AI Safety and Alignment

Critical discussion on AI safety, alignment problems, and building beneficial AI systems that align with human values.

ai-safety alignment +2
Tutorial

Building AI Agents with LangChain

Create autonomous AI agents that can use tools, reason, and take actions to complete complex tasks.

agents langchain +3
Course

Spinning Up in Deep RL by OpenAI

Educational resource for learning deep reinforcement learning. Includes tutorials, papers, and code examples.

reinforcement-learning agents +3
Tutorial

Ollama - Run LLMs Locally

Run large language models on your own machine. Privacy-focused, free, and easy to use.

ai-tools llm +2
Tutorial

Jupyter Notebooks for Data Science

Interactive Python environment perfect for ML experimentation, data analysis, and education.

notebook python +3
Tutorial

LangChain for LLM Applications

Build powerful LLM applications with LangChain. Chains, agents, memory, and RAG made simple.

langchain llm +3
Tutorial

Hugging Face Transformers Library

State-of-the-art NLP library with thousands of pre-trained models. Easy fine-tuning and deployment.

huggingface transformers +3
Course

TensorFlow 2.0 Complete Guide

Master TensorFlow 2.0 for building and deploying ML models. Covers Keras, TF Lite, and TF.js.

tensorflow deep-learning +3
Tutorial

ChatGPT API for Developers

Official guide to building applications with ChatGPT API. Includes best practices, examples, and cost optimization.

ai-tools chatgpt +3
Tutorial

OpenCV Python Tutorial for Beginners

Get started with OpenCV in Python. Learn image processing, filters, transformations, and basic computer vision.

opencv python +3
Article

Image Segmentation with Deep Learning

Comprehensive guide to image segmentation: U-Net, Mask R-CNN, semantic vs instance segmentation, and applications.

computer-vision image-processing +2
Tutorial

YOLO Object Detection - Complete Guide

Master YOLO (You Only Look Once) for real-time object detection. Includes YOLOv5, YOLOv8, and deployment.

object-detection yolo +3
Tutorial

PyImageSearch Computer Vision Tutorials

Practical computer vision tutorials with OpenCV and Python. From basics to advanced deep learning applications.

computer-vision opencv +3
Tutorial

Fine-Tuning Large Language Models

Complete guide to fine-tuning LLMs for specific tasks. Covers techniques, best practices, and cost optimization.

fine-tuning llm +3
Whitepaper

GPT-4 Technical Report

OpenAI's technical report on GPT-4: architecture, capabilities, limitations, and safety considerations.

gpt openai +3
Course

ChatGPT Prompt Engineering for Developers

Official course on prompt engineering by OpenAI and DeepLearning.AI. Learn to build with GPT models effectively.

prompt-engineering chatgpt +3
Article

Prompt Engineering Guide

Comprehensive guide to prompt engineering: techniques, examples, best practices for GPT-4, Claude, and other LLMs.

prompt-engineering gpt +3
Course

Stanford CS224N: NLP with Deep Learning

Graduate-level NLP course covering word vectors, neural networks, attention, transformers, and question answering.

nlp stanford +3
Article

The Illustrated Transformer

Visual explanation of the Transformer architecture that powers modern LLMs. Clear diagrams and intuitive explanations.

transformers nlp +3
Course

Hugging Face NLP Course

Complete course on NLP using transformers. Covers BERT, GPT, T5, and fine-tuning for various tasks.

nlp transformers +3
Book

Deep Learning Book by Goodfellow

The deep learning textbook. Comprehensive coverage of ML basics, deep networks, optimization, CNNs, RNNs, and more.

deep-learning book +3
Tutorial

Building a Neural Network from Scratch

Step-by-step tutorial building a neural network without frameworks. Understand backpropagation deeply.

neural-networks tutorial +3
Article

Understanding CNNs for Computer Vision

Deep dive into Convolutional Neural Networks: filters, pooling, architectures like ResNet, VGGNet, and practical...

cnn computer-vision +3
Course

Deep Learning Specialization

Andrew Ng's comprehensive deep learning course covering neural networks, CNNs, RNNs, and more. 5-course specialization.

deep-learning neural-networks +3
Course

Elements of AI - Free Online Course

Finland's free AI fundamentals course for non-programmers. Over 750,000 students. Covers AI basics, ethics, and...

fundamentals beginner +2
Course

AI For Everyone by Andrew Ng

Non-technical introduction to AI. Learn what AI can and cannot do, how to spot AI opportunities, and work with an AI...

fundamentals beginner +3
Course

Machine Learning Crash Course by Google

Fast-paced, practical introduction to machine learning with TensorFlow. Includes video lectures, real-world case...

fundamentals machine-learning +3