Build complex chat apps using LLMs with ChainFury
Bhargav Bardipurkar (~bhargav30) |
Description:
By enabling you to “chain” the components of LangChain (prompts, utilities, agents) through GUI (inspiration from LangFlow) and APIs, ChainFury enables you to develop more complex chat applications that rely on LLMs; add to this a robust feedback mechanism and great visual metrics.With ChainFury, you'll be able to tap into the full potential of LLMs and use them in your Chat Bots like never before. But that's not all – ChainFury also provides you with invaluable insights into your LLMs' performance through detailed feedback monitoring. Say goodbye to lacklustre chat bot interactions and hello to a seamless, intelligent conversation experience with ChainFury! ChainFury comes packed with a range of features like - Recording all prompts and responses and storing them in a database. Collecting metrics like latency to provide an easy-to-use scoring mechanism for end-users. Querying OpenAI's API to obtain a rating for the response, which it stores in the database.
Speaker Info:
Bhargav is a senior software engineer at NimbleBox AI, Which is an MLOPS Infra company.His interest are in building distributed systems,When in free time he loves to tinker with electronics, contribute to open source projects.