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Automatically generate a user-rated dataset from implicit feedback embedded in interactions to use in your LLM evaluation pipeline.

Many users can’t prompt in the right way. Suggest prompts to users in real-time based on the context of their current inquiry and past successful interactions.

Not every user is the same.
Conduct A/B testing on targeted groups of users to see how different LLM configurations affect real users in production.