LLM Observability: the Why, What and How

Why is LLM Observability important? And how does it fit in the LLMOps stack?

In order for LLM apps to go beyond experimentation to valuable apps in production, developers need confidence that their app is successful and will continue to be effective in live use. Specific challenges include ensuring that your app doesn’t wander off into the wilderness of hallucinations, irrelevance, overconfidence, toxicity, bias, and more. 

Join Jake Flomenberg, partner at Wing Ventures, as he leads a panel of experts discussing how they’ve avoided the pitfalls of LLM apps and what they’re doing about a critical part of the LLM stack: LLM Observability. In this webinar, you will learn:

• What could possibly go wrong? Why simply hoping for the best is not your friend. We’ll cover the variety of ways that apps run into trouble.
• Building for resilience - lessons learned: building and deploying applications powered with LLMs, such as OpenAI’s GPT series, and vector databases, such as Pinecone 
• LLM Observability: what it is, and how evaluation, debugging, and monitoring are your friends

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Meet the Panelists