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Collaboration & evaluation for LLM apps
Practical AI
Iterative Process for Building a Question Answering System
When building a question answering system, the process typically involves defining system requirements and building retrieval components by the engineers. Domain experts then evaluate the system in a playground environment, iteratively trying different prompts and models to refine the system. This iterative process involves setting up evaluation criteria and running rigorous evaluations before deploying to production for real users.
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