Pinecone Vector Database Guide
Purpose-built vector database for AI applications. Powers semantic search, RAG, and similarity...
Visit Resource →Purpose-built vector database for AI applications. Powers semantic search, RAG, and similarity...
Browse state-of-the-art AI research papers with code implementations. Stay updated with latest...
Understand algorithmic bias: sources, detection, mitigation strategies, and building fair ML...
Course on ethical considerations in AI development, bias detection, fairness, and responsible AI...
Containerize ML applications with Docker. Ensure reproducibility and easy deployment across...
Learn to deploy machine learning models as REST APIs using FastAPI. Fast, modern, and...
Critical discussion on AI safety, alignment problems, and building beneficial AI systems that...
Create autonomous AI agents that can use tools, reason, and take actions to complete complex tasks.
Foundational course on RL covering MDPs, Q-learning, policy gradients, and actor-critic methods.
Run large language models on your own machine. Privacy-focused, free, and easy to use.
Track, visualize, and optimize ML experiments. Essential tool for MLOps and reproducible research.
Build powerful LLM applications with LangChain. Chains, agents, memory, and RAG made simple.
State-of-the-art NLP library with thousands of pre-trained models. Easy fine-tuning and deployment.
Master TensorFlow 2.0 for building and deploying ML models. Covers Keras, TF Lite, and TF.js.
Complete PyTorch course from basics to advanced. Build neural networks, CNNs, RNNs, and deploy...
Official guide to building applications with ChatGPT API. Includes best practices, examples, and...
Complete guide to Stable Diffusion: how it works, prompt engineering, fine-tuning, and running...
Master YOLO (You Only Look Once) for real-time object detection. Includes YOLOv5, YOLOv8, and...
Practical computer vision tutorials with OpenCV and Python. From basics to advanced deep learning...
Learn to build LLM applications with LangChain: chains, agents, memory, RAG, and production...
Visual explanation of the Transformer architecture that powers modern LLMs. Clear diagrams and...
Complete course on NLP using transformers. Covers BERT, GPT, T5, and fine-tuning for various tasks.
Step-by-step tutorial building a neural network without frameworks. Understand backpropagation...
Deep dive into Convolutional Neural Networks: filters, pooling, architectures like ResNet,...
Top-down approach to deep learning. Start coding neural networks from day one. Uses PyTorch.
Andrew Ng's comprehensive deep learning course covering neural networks, CNNs, RNNs, and more....
MIT's introductory course on AI covering search, knowledge representation, machine learning, and...