Description:

LLM integration is one of the features that have given power to people to deploy LLMs in their Python programs. This could help in many ways, including performing tasks within the app, summarizing any given text, content generation, and much more. There are quite a few libraries that help us in doing so.

In my talk, I'll be discussing the integration of Large Language Models in Python programs using a library called Langchain (https://www.langchain.com/) which is an open-source framework which helps us in doing so. The topics that will be covered in the talk are as follows:

• Brief about Langchain: what is it and how it can be used.
• We'll be looking at how we can integrate OpenAI's ChatGPT in any Python program.
• For the example, we'll be making two AI ChatGPT models / different chat-based model talk to each other.
• Then we'll be covering some techniques we can use for prompting the OpenAI model to get the desired output.
• Final conclusion with a few tips.

Prerequisites:

Prerequisite:- - Adequate knowledge about Python

Speaker Info:

I am Gaurav Lahoti, a Data Scientist with more than a year of experience in development and testing activities. I have worked at notable companies like YXIOM and Raylog, where I honed my skills in analyzing and manipulating data using Python. My expertise extends to processing data from CSV files obtained from servers and APIs. I have also contributed as a developer to backtesting systems in both Cryptocurrency and Commodities. Furthermore, I've taken on freelancing projects from clients in Australia, specializing in Langchain and LLM integration. My proficiency primarily lies in Python, alongside a command of frontend technologies like HTML and ReactJS.

Speaker Links:

LinkedIn