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We firstly label our voice call according to a script. It's a call set we collected from our first trial of production calls. And it gives us a very high-level structure of how we can evaluate the performance.
When we started to build this AI agent very quickly, what started happening was that hundreds of calls started happening on behalf of our travelers. What became very clear was that the development team, the ops team, could not hear every call to be able to learn and understand how …
Langfuse is the 𝗺𝗼𝘀𝘁 𝗽𝗼𝗽𝘂𝗹𝗮𝗿 𝗼𝗽𝗲𝗻 𝘀𝗼𝘂𝗿𝗰𝗲 𝗟𝗟𝗠𝗢𝗽𝘀 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺. It helps teams collaboratively develop, monitor, evaluate, and debug AI applications. Langfuse can be 𝘀𝗲𝗹𝗳-𝗵𝗼𝘀𝘁𝗲𝗱 in minutes and is battle-tested and …
Arize AI is a machine learning observability platform to help unpack the proverbial AI black box. Their solutions provide ML teams the tools they need to understand whether their models …
Vellum’s best-in-class prompt playground lets you systematically iterate and refine prompts with ease. Perform side-by-side comparisons between models from any provider - close sourced, open sourced, and even self-hosted. Use …
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