Monitor, Debug and Test applications based on Generative AI models with LangChain

In this video, I demonstrate how to use LangSmith from LangChain to monitor, debug, and test generative AI models in your applications. LangSmith gives full visibility into model performance - see detailed metrics on request latency, tokens, costs, and more. Easily identify issues and troubleshoot unexpected model behavior.

LangSmith also enables creating datasets to evaluate models over time with built-in scoring. I walk through testing a large language model for relevance and coherence.

With LangSmith, you can optimize efficiency, reduce costs, and ensure high-quality AI output - essential as you scale across your organization.

Want help implementing LangSmith to get the most from your AI investments? The machine learning experts at Neurons Lab can provide guidance on model monitoring, management, and optimization. Contact us to future-proof your generative AI systems.

Check out the video to see how LangSmith takes the guesswork out of managing your AI.