Prompt Engineering 101: Beginner intro to LangChain, the shovel of our ChatGPT gold rush."

There is a gold rush to apply AI to anything nowadays. Anyone can do it, you no longer need to be a Machine Learning Engineer! Just write some prompts for ChatGPT.

There is a saying "During a gold rush - sell shovels". This talk is about a wonderful tool, LangChain, as easy to use as a good shovel.

This talk is about LangChain, a Python open-source tool for prompt engineering. You can use it with completely open-source language models or ChatGPT.

The project started 6 months ago and now has 25k Github stars and raised $10 mln. What is all this about?

This talk is a gentle introduction. It will show how to:

• create a simple prompt
• get an answer from a Large Language Model of your choice - local or API
• chain requests together to search the web, use Python REPL
• make LLM choose which tools to use for complex questions
• answer questions over a collection of long documents

As an example application, we will code an AI agent to answer "When is the PyCon DE & PyData Berlin 2023 conference? How many days are between that date and today?" using web search and Python REPL.