Summary of the project
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What you'll be working with
OpenAI
LangChain
Chroma
Python
A Practical Introduction to AI for Developers
This tutorial is designed for software developers who are curious about how to build programs with AI, specifically Large Language Models (LLMs). In the following lesson, you will learn about the limitations of working with LLMs and how to use a framework like LangChain to help overcome these limitations.
You will put all this knowledge into practice by creating a chat bot that can answer questions about the recent state of the world by parsing a PDF (the World Economic Outlook Update, January 2024), embedding it into a vectorized database, and using a technique called Retrieval Augmented Generation to supplement the base model of ChatGPT with this new information.
Prerequisites
- Basic knowledge of Python
- OpenAI API key with credits
Learning Objectives
By the end of this tutorial, you will be able to:
- Understand how to work with LLMs and become familiar with their limitations
- Understand how to chain together different components of the AI stack with LangChain to overcome these limitations
- Build a working chat bot that can query a PDF file for additional information