LangChain launches LangChain Labs for continual AI learning
LangChain launched LangChain Labs as an applied research effort focused on continual learning for AI agents. The initiative captures signals from large-scale agent data and converts them into iterative improvements across models and fine-tuning. LangSmith processes production tracing data to generate evaluations and targeted updates. Early partners include Harvey and Nvidia, with work centered on closing feedback loops to support long-term enterprise agent adaptation.
#335will brown@WILLCCBBsuuuuper excited to be collaborating with the excellent LangChain Labs team on this effort
prod agent tracing is the seed that lets you close the loop for continual learning. too much data gets collected but not used for learning. time to change that :)
Harrison Chase@hwchase17http://x.com/i/article/2054956421993959424
#702Harrison Chase@HWCHASE17#702Harrison Chase@HWCHASE17Jake will be working with a lot of folks on continual learning - if that’s interesting, reach out to him!
Jake Broekhuizen@jakebroekhuizenAn exciting time to be working on Continual Learning and everything around it - if you’re working on any of the areas we outline below, DM me!