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Hands-On AI: Building LLM-Powered Apps

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Are you ready to start building applications with large language models (LLMs), but not sure where to begin? This course, which is designed uniquely for beginners with no experience in the LLM space, offers an overview of the fundamentals of LLMs with hands-on challenges to boost your skills along the way.

Explore the essentials of retrieval-augmented generation including search engine basics, embedding model limitations, and how to build a chat-with-PDF application. Along the way, instructor Han Lee shows you how to get up and running with prompt engineering, using the prompt playground for LLM apps.

This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that you’ll likely encounter in the workplace. Check out the “Using GitHub Codespaces with this course” video to learn how to get started.


01 - Introduction
  • 01 - Building apps using large language models

  • 02 - 1. LLM The Essentials
  • 01 - Language models and tokenization
  • 02 - Large language model capabilities
  • 03 - Challenge Introduction to Chainlit
  • 04 - Solution Introduction to Chainlit solution
  • 05 - Prompts and prompt templates
  • 06 - Obtaining an OpenAI token
  • 07 - Challenge Adding an LLM to the Chainlit app
  • 08 - Solution Adding an LLM to the Chainlit app
  • 09 - Large language model limitations

  • 03 - 2. Retrieval Augmented Generation
  • 01 - Retrieval augmented generation
  • 02 - Search engine basics
  • 03 - Embedding search
  • 04 - Embedding model limitations
  • 05 - Challenge Enabling load PDF to Chainlit app
  • 06 - Solution Enabling load PDF to Chainlit app
  • 07 - Challenge Indexing documents into a vector database
  • 08 - Solution Indexing documents into a vector database
  • 09 - Challenge Putting it all together
  • 10 - Solution Putting it all together
  • 11 - Trying out your chat with the PDF app

  • 04 - 3. Prompt Engineering
  • 01 - Prompt engineering basics
  • 02 - Challenge Set up prompting
  • 03 - Solution Set up prompting
  • 04 - Prompt playground for LLM apps
  • 05 - Challenge Fixing hallucination via prompting
  • 06 - Solution Fixing hallucination via prompting

  • 05 - Conclusion
  • 01 - Continue your LLM journey
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