Amazon Proposes Use of Generative AI for Database Debugging

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Kieron Allen guest-hosts today’s episode, and he analyzes Amazon’s Panda framework for artificial intelligence (AI)-powered database debugging.

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Highlights

00:17 — Amazon has proposed a new generative AI tool to support performance debugging for databases. It calls the framework Panda, which is a co-pilot or large language model (LLM) agent for databases that users can query using natural language. It challenges the as-yet sketchy capabilities of ChatGPT to address database performance and, instead, proposes pre-trained LLMs to provide contextually accurate answers based on the way database engineers approach debugging.

00:57 — Panda has four key components: grounding for extracting contextual data, verification with citations, affordance to highlight risks of an action, and the ability to accept user feedback.