LangChainAI has launched LangSmith, a unified DevOps platform for LLM apps. The platform aims to simplify development, collaboration, testing, deployment, and monitoring. LangSmith is highlighted for its ease of setup and tracking capabilities without requiring installation of LangChain.
Most people don't know that LangSmith works even without installing langchain. This post showcases how easy it is to set up for instructor and to track some of my async batch classification jobs. https://t.co/cleyvGNtvZ The annotation queue is something I'm looking forward to…
Good article on “compound ai systems” Describes pretty nicely what we’re trying to help build at langchain https://t.co/gF2Kz5JNHS
Interesting trend in AI: the best results are increasingly obtained by compound systems, not monolithic models. AlphaCode, ChatGPT+, Gemini are examples. In this post, we discuss why this is and emerging research on designing & optimizing such systems. https://t.co/tfnNuoTNNY
Got to try the new release of @LangChainAI - LangSmith A simple setup, giving information of each step of retrieval. Love what LangChain is doing for AI. #ArtificialIntelligence #DevOps #development https://t.co/gigo4KAdNY
LangSmith is now generally available 🔥 Uploaded a complete beginners guide of LangSmith platform from @LangChainAI It is a unified DevOps platform for developing, collaborating, testing, deploying, and monitoring LLM apps. YT 🍿: https://t.co/TI7b7KDxpS #langsmith #langchain https://t.co/gxkY1mUdxY