Technical Workshop Series
Getting to know LangChain (1st Offering)
Presenter: Ali Forooghi
Date: Tuesday, July 9th, 2024
Time: 2:00 pm
Location: 4th Floor at 300 Ouellette Avenue (School of Computer Science Advanced Computing Hub)
This is a hands-on workshop; please bring your laptop.
Abstract:
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 create powerful applications using LLMs. These models can 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 excellent applications with these models. Applications developed with LangChain boast two key characteristics: context-aware and resonate with intelligent reasoning. Being context-aware implies linking 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
Biography:
Ali Forooghi is a Computer Science PhD student at the University of Windsor with a keen interest in Natural Language Processing (NLP).
MAC STUDENTS ONLY - Register here
Reminder: Workshops marked as 1st Offering and 2nd Offering mean the exact same workshop is running at two different times - DO NOT REGISTER FOR BOTH. Students will not get points for attending the same workshop twice.