Explore the world of LLM-powered applications in this insightful video featuring Harrison Chase, Co-Founder and CEO of LangChain. Dive into the fundamentals of LangChain, its rapid rise to prominence, and the factors behind its success. Discover how community-building has played a crucial role in LangChain's development and learn about real-world applications of this powerful tool. Gain valuable insights into evaluating effectiveness in machine learning, the importance of fine-tuning LLMs, and the critical role of prompt engineering. Hear Harrison's predictions for the future of LLM providers and understand why LangChain has become an essential resource for developers working with large language models. Whether you're a seasoned AI professional or just starting your journey in the field, this comprehensive discussion offers valuable knowledge and perspectives on the cutting edge of LLM-powered application development.
Enabling LLM-Powered Applications with Harrison Chase of LangChain
Overview
Syllabus
Intro
What is LangChain?
Reasons for LangChain's attention
LangChain's start and growth catalyst
Community-building for LangChain
Real-world use cases
LangChain's pride and improvements
ML space evaluation effectiveness details
Fine-tuning LLMs
Prompt engineering's crucial importance
LLM providers' future predictions
- https://blog.langchain.dev/ai-powered-medical-knowledge/ blog spoken about at of video
Taught by
Weights & Biases
