Enabling LLM-Powered Applications with Harrison Chase of LangChain

Enabling LLM-Powered Applications with Harrison Chase of LangChain

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.


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