Published Jun 3, 2023
Enabling LLM-Powered Applications with Harrison Chase of LangChain
Harrison Chase, co-founder of LangChain, delves into the complexities of fine-tuning large language models and optimizing prompt engineering, discusses evaluation strategies and future predictions for LLMs, and highlights LangChain’s pivotal role in enabling LLM-powered applications with an emphasis on real-world impact and community collaboration.
Topics covered
Popular Clips
Episode Highlights
Related Episodes
Zack Chase Lipton — The Medical Machine Learning Landscape
Answers 383 questions
Revolutionizing AI Data Management with Jerry Liu, CEO of LlamaIndex
Answers 383 questions
Johannes Otterbach — Unlocking ML for Traditional Companies
Answers 383 questions
Harnessing AI for legal practice with CoCounsel’s Jake Heller
Answers 383 questions
How EleutherAI Trains and Releases LLMs: Interview with Stella Biderman
Answers 383 questions
Chip Huyen of Claypot AI— ML Research and Production Pipelines
Answers 383 questions
Richard Socher — The Challenges of Making ML Work in the Real World
Answers 383 questions
Shaping AI Benchmarks with Together AI Co-Founder Percy Liang
Answers 383 questions
Transforming Search with Perplexity AI’s CTO Denis Yarats
Answers 383 questions
Aaron Colak — ML and NLP in Experience Management
Answers 383 questions
Hamel Husain — Building Machine Learning Tools
Answers 383 questions
James Cham — Investing in the Intersection of Business and Technology
Answers 383 questions
Emily M. Bender — Language Models and Linguistics
Answers 383 questions
Jonathan Frankle of MosiacML— Neural Network Pruning and Training
Answers 383 questions
Will Falcon — Making Lightning the Apple of ML
Answers 383 questions