Large Language Models

What are LLMs?

Large Language Models are AI systems trained on vast amounts of text data. They can understand, generate, and reason with human language, powering applications like ChatGPT, Claude, and Gemini.

Understanding LLMs

• Intro to LLMs - Andrej Karpathy's excellent overview
• What Is ChatGPT Doing? - Stephen Wolfram's deep dive
• DeepLearning.AI - Free courses on LLMs and generative AI

Key Concepts

• Transformers: The architecture behind modern LLMs
• Attention Mechanism: How models focus on relevant information
• Tokens: The building blocks of text for LLMs
• Fine-tuning: Customizing models for specific tasks
• Embeddings: Numerical representations of text
• Retrieval-Augmented Generation (RAG): Combining LLMs with external knowledge

Working with LLMs

• OpenAI API Docs - GPT models and API
• Anthropic Claude - Claude API documentation
• Hugging Face - Open-source models and tools
• Ollama: Run LLMs locally on your machine
• LangChain: Framework for building LLM applications

Practical Applications

• Chatbots & Assistants: Customer service, personal helpers
• Content Generation: Writing, coding, creative work
• Analysis & Summarization: Document processing, insights
• Code Assistance: GitHub Copilot, code review, debugging
• Search & Recommendations: Semantic search, personalization