Enabling LLM-Powered Applications with Harrison Chase of LangChain
Gradient Dissent: Conversations on AI - A podcast by Lukas Biewald - Thursdays
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On this episode, we’re joined by Harrison Chase, Co-Founder and CEO of LangChain. Harrison and his team at LangChain are on a mission to make the process of creating applications powered by LLMs as easy as possible.We discuss:- What LangChain is and examples of how it works. - Why LangChain has gained so much attention. - When LangChain started and what sparked its growth. - Harrison’s approach to community-building around LangChain. - Real-world use cases for LangChain.- What parts of LangChain Harrison is proud of and which parts can be improved.- Details around evaluating effectiveness in the ML space.- Harrison's opinion on fine-tuning LLMs.- The importance of detailed prompt engineering.- Predictions for the future of LLM providers.Resources:Harrison Chase - https://www.linkedin.com/in/harrison-chase-961287118/LangChain | LinkedIn - https://www.linkedin.com/company/langchain/LangChain | Website - https://docs.langchain.com/docs/Thanks for listening to the Gradient Dissent podcast, brought to you by Weights & Biases. If you enjoyed this episode, please leave a review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation.#OCR #DeepLearning #AI #Modeling #ML
