Gain a deep understanding of your customers' true needs and intentions during their interactions with your language models.
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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.