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AI Foundations - AI Basics
  1. Generative AI
  2. What is LLM (Large Language Model)
  3. Working With LLM: Prompt, Tokens, Context
  4. LLM Output Controls: Temperature, Top-p & Top-k
  5. How Modern LLMs are Trained
  6. LLM Reasoning
  7. AI Model Categories with Examples and Capabilities
  8. LLM Chat Roles
  9. Intent Classifier
  10. Entity Extraction
  11. Combining Intent And Entity Extraction
  12. LLM Memory
  13. LLM Context Window
  14. Retrieval Augmented Generation (RAG)
  15. RAG Components: Embedding Model, Vector store, And LLM
  16. AI Agents
  17. AI Safety And Guardrails
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