LangChain 探索 Jev 模型在智能体中的应用
we've been diving into how Jev can help with agents @sydneyrunkle will do a deep dive on this next ...
LangChain 要聊 Jev 模型怎么帮智能体更快、更便宜地做决策，下周直播可以听。
LangChain 将举办关于 Jev 模型的深度探讨，该模型由 Typesafe AI 开发，在分类任务上比同类 LLMs 的推理速度更快、成本更低。Jev 旨在解决智能体循环中速度慢、成本高的问题。
we've been diving into how Jev can help with agents @sydneyrunkle will do a deep dive on this next ...
we've been diving into how Jev can help with agents @sydneyrunkle will do a deep dive on this next week - come join! LangChain @LangChain Hot topic livestream: Learn about Jev A buzzy new model Jev, by @typesafeai , reports up to 200x faster inference and 400x lower cost than comparable LLMs on classification tasks. It's aiming to solve the problem of slow and costly agent loops. Next Tuesday, we’re bringing @sydneyrunkle from our engineering team at @LangChain , for a live convo on how TypeSafe AI’s model makes fast, structured decisions, where it fits in the agent loop, and how to build a harness with Jev. Join here: events.langchain.com/webinar/buildi… 🔗 View Quoted Tweet 💬 2 🔄 4 ❤️ 15 👀 1546 📊 4 ⚡
