An LLM differs from a function in that it takes output and imputes, or infers, a function and its arguments. We first consider how this process works within Selector for an English phrase converted to a query. We then step through the design of Selector's LLM, which relies on a base LLM trained with English phrases and SQL translation, then fine-tuned, on-premises, with customer-specific entities. In this way, each of Selector's deployments relies on an LLM tailored to the customer at hand.

Presented by Nitin Kumar, Co-founder and CTO. Recorded live at Networking Field Day 35 in Silicon Valley on July 11, 2024. Watch the entire presentation at techfieldday.com/appearance/selector-ai-presents-at-networking-field-day-35/ or visit techfieldday.com/event/nfd35/ or selector.ai/request-a-demo/ for more information.