Hands-On AI: Building LLM-Powered Apps

Introduction

• Building apps using large language models

1. LLM: The Essentials

• Language models and tokenization
• Large language model capabilities
• Challenge: Introduction to Chainlit
• Solution: Introduction to Chainlit solution
• Prompts and prompt templates
• Obtaining an OpenAI token
• Challenge: Adding an LLM to the Chainlit app
• Solution: Adding an LLM to the Chainlit app
• Large language model limitations

2. Retrieval Augmented Generation

• Retrieval augmented generation
• Search engine basics
• Embedding search
• Embedding model limitations
• Challenge: Enabling load PDF to Chainlit app
• Solution: Enabling load PDF to Chainlit app
• Challenge: Indexing documents into a vector database
• Solution: Indexing documents into a vector database
• Challenge: Putting it all together
• Solution: Putting it all together
• Trying out your chat with the PDF app

3. Prompt Engineering

• Prompt engineering basics
• Challenge: Set up prompting
• Solution: Set up prompting
• Prompt playground for LLM apps
• Challenge: Fixing hallucination via prompting
• Solution: Fixing hallucination via prompting

Conclusion

• Continue your LLM journey