Chainlit: How to Build a ChatGPT-like User Interface in Python
Join us for the Chainlit: How to Build a ChatGPT-like User Interface in Python event!
Once you build a complex Large Language Model (LLM) application using a state-of-the-art LLM Ops framework like LangChain, you still need to put a chat-style user interface on it!
During the event, you’ll learn how to use Chainlit to build an arXiv chat application that we can use to find papers relevant to specific topics and to ask questions of the papers in natural language. We will take a close look at how to use Chainlit to visualize multi-step “Chain-of-Thought” reasoning and to iterate on the quality of your prompts using the Prompt Playground. All demo code will be provided via GitHub links during and after the event!
Who should attend the event?
Practitioners who want to build beautiful and functional chat-style UIs in Python.
Practitioners who want to build and optimize complex LLM applications faster.
Speakers:
Dr. Greg Loughnane is the Founder of the Machine Learning Makerspace. Previously, he has worked as a product manager, university professor, AI consultant, and ML researcher. Since 2021 he has built and led industry-leading Machine Learning & AI bootcamp programs, and is currently focused on staying out ahead of Generative AI and helping other humans do the same.
Chris Alexiuk, is an Instructor at FourthBrain, where he plays key roles in curriculum development, delivering live in-classroom demonstrations, and one-on-one student support and career coaching. During the day, he’s a Founding Machine Learning Engineer at Ox. He is also a solo YouTube creator who builds weekly with the latest and greatest Generative AI and LLM tools.
