Large language models, text generation, image synthesis, diffusion models, and the technology behind modern AI assistants.
- Microsoft: Generative AI for Beginners - Comprehensive 18-lesson course on building generative AI applications.
Beginner - DeepLearning.AI: Generative AI for Everyone - Andrew Ng's course on understanding generative AI.
Beginner - Coursera: Generative AI with Large Language Models - Deep dive into LLMs, fine-tuning, and RLHF.
Intermediate - Google Cloud: Generative AI Learning Path - Comprehensive learning path from Google.
Beginner - DeepLearning.AI: How Diffusion Models Work - Short course on the math and code behind diffusion.
Intermediate - Hugging Face: Diffusion Models Course - Hands-on course on building and understanding diffusion models.
Intermediate
- The Illustrated GPT-2 (Jay Alammar) - Visual explanation of how GPT models work.
Beginner - Lil'Log: LLM-Powered Agents - Deep dive into LLM agents and their capabilities.
Intermediate - Anthropic: Claude Documentation - Free guides for working with Claude AI and understanding LLMs.
Beginner - State of GPT (Andrej Karpathy) - Talk explaining how GPT models are trained and used.
Beginner - The Illustrated Stable Diffusion - Visual walkthrough of diffusion models.
Beginner
- Hugging Face: Open LLM Leaderboard - Compare open-source LLM performance.
All Levels - Ollama - Run open-source LLMs locally with simple setup.
Beginner - LM Studio - Desktop app for running local LLMs with a friendly UI.
Beginner - vLLM Documentation - High-throughput LLM serving engine.
Advanced - Together AI Playground - Free playground for testing open-source models.
All Levels