Agent Learning from Human Feedback (ALHF): A Databricks Knowledge Assistant Case Study
databricks
AUGUST 4, 2025
Example Let’s say we create a Question Answering (QA) agent to answer questions for a hosted database company. This paradigm offers a natural, cost-effective channel for human interaction and enables the system to learn from rich expectation signals. Post launch, we’ve also observed that answer quality continues to climb.”
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