The School of Computer Science at the University of Windsor Presents...
Getting to know LangChain
Presenter: Ali Forooghi
Date: Monday, February 26, 2024
Time: 12:00 pm – 1:00 pm
Location: 4th Floor (Workshop space) at 300 Ouellette Avenue (School of Computer Science Advanced Computing Hub)
Many researchers and companies are interested in building apps based on large language models (LLMs) due to their outstanding performance in various tasks. LangChain is like a toolbox that makes it easier to build powerful applications using LLMs. These models can do tasks like summarize documents, chat with, or analyze code. In this workshop, we'll show you how LangChain works and how to use it to make your own awesome applications with these models. Applications developed with LangChain boast two key characteristics: they are context-aware and resonate with intelligent reasoning. Being context-aware implies the ability to link a language model with relevant contextual sources, enhancing the depth and relevance of interactions. Meanwhile, resonating denotes the reliance on a language model's capacity for intelligent reasoning, enabling applications to make informed decisions and provide insightful responses.
Workshop Outline:
- LLMs
- Introduction to LangChain
- Models, Prompts, Parsers
- Chain
Prerequisites: Basic Knowledge of Python
Ali Forooghi, is a Computer Science PhD student at the University of Windsor, with a keen interest in Natural Language Processing (NLP).