I want to know the tools and methods you use for the observability and monitoring of your ML (LLM) performance and responses in production.

  • Serquet1@alien.topB
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    1 year ago

    Hey, we recently rolled out Nebuly, a tool focused on LLM observability in production. Thought it might be of interest to some here, and potentially useful for your needs. Here are some highlights:
    - Deep User Analytics: More insightful than thumbs up/down, it delves into LLM user interactions.
    - Easy Integration: Simply include our API key and a user_id parameter in your model call.
    - User Journeys: Gain insights into user interactions with LLMs using autocapture.
    - FAQ Insights: Identifies the most frequently asked questions by LLM users.
    - Cost Monitoring: Strives to find the sweet spot between user satisfaction and ROI.

    For a deeper dive, here’s our latest blog post on the topic: What is User Analytics for LLMs.