Today we talk about Large Language Models (LLMs) and writing products and applications that use LLMs. Our guest is Phillip Carter, Principal PM at Honeycomb.io. Honeycomb makes an observability tool for site reliability engineers, and Carter worked on a project called Query Assistant that helps Honeycomb users get answers to questions about how to use the product and get insights from it. We discuss taking natural language input and turning it into outputs to help SREs do their jobs.
The post Day Two Cloud 201: Building A Product That Uses LLMs appeared first on Packet Pushers.
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