Learn and build diffusion models from the ground up, understanding each step. Learn about diffusion models in use today and implement algorithms to speed up sampling.

Learn to break down complex tasks, automate workflows, chain LLM calls, and get better outputs from LLMs. Evaluate LLM inputs and outputs for safety and relevance.

Create and demo machine learning applications quickly. Share your app with teammates and beta testers on Hugging Face Spaces.

Learn best practices for prompting and selecting among Meta Llama 2 & 3 models. Interact with Meta Llama 2 Chat, Code Llama, and Llama Guard models.

Build agentic AI workflows using LangChain's LangGraph and Tavily's agentic search.

Try out the features of the new Llama 3.2 models to build AI applications with multimodality.

Efficiently handle time-varying workloads with serverless agentic workflows and responsible agents built on Amazon Bedrock.

Build agents that collaborate to solve complex business tasks.

Learn to build with LLMs by creating a fun interactive game from scratch.

Build LLM apps that can process very long documents using the Jamba model

Learn how an AI Assistant is built to use and accomplish tasks on computers.

Build multimodal and long-context GenAI applications using Llama 4 open models, API, and Llama tools.