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Introduction to Generative AI ( LLM )

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LLM

Curriculum

  • 2 Sections
  • 22 Lessons
  • 0m Duration
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Genenative AI
10 Lessons
  1. Introduction to Generative AI and LLMs
  2. How LLMs Work – The Big Picture
  3. Introduction to the Art of Interacting with LLMs
  4. Exploring Pretrained Models: A Deep Dive into Open-Source LLMs
  5. Fine-Tuning and Instruct-Tuning Basics
  6. 📖 Evaluation of LLMs: How Do We Know if a Model is "Good"?
  7. 🛡️ Safety, Bias, and Ethical Concerns in LLMs
  8. 🛠️ Building Applications with LLMs: A Comprehensive Guide
  9. Fine-tuning or Adapting LLMs: A Complete Guide
  10. The Future of Generative AI: A Deep Dive
Advanced Generative AI
12 Lessons
  1. Using Hugging Face API for Generative AI
  2. Hosting Ollama on Your Local Machine Without Docker (Windows, Linux, macOS)
  3. Advanced topic: minimum hardware requirements for Ollama
  4. How to Use Ollama API
  5. Introduction to vLLM:
  6. Advanced topic:Comparison of vLLM and Ollama
  7. Retrieval-Augmented Generation (RAG)
  8. Building AI Agents: Concept and Implementation
  9. open-webui
  10. Getting Started with Cherry Studio
  11. Model Context Protocol overview
  12. provide a Model Context Protocol (MCP) server/service
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