Learn how Large Language Models (LLMs) operate differently from traditional functions by examining their ability to infer functions and arguments from outputs in this 14-minute conference talk from Networking Field Day 35. Explore the technical process behind Selector's LLM implementation, focusing on English phrase to query conversion. Discover the architecture of Selector's LLM system, which combines a foundation model trained on English-SQL translation with customer-specific fine-tuning performed on-premises. Understand how this approach enables customized LLM deployments tailored to individual customer needs through the detailed explanation by Selector's Co-founder and CTO Nitin Kumar.
Understanding LLM Architecture and Implementation in Selector AI
Overview
Syllabus
Selector AI and the Workings of an LLM
Taught by
Tech Field Day
Related Courses
-
Fine-Tuning LLM Models - Generative AI Course
-
H2O ai Large Language Models (LLMs) - Level 2
-
Non-Technical Introduction to Generative AI and LLM Applications
-
Fine-tuning Language Models for Business Tasks
-
Generative AI with Large Language Models
-
LLM Engineering: Master AI & Large Language Models (LLMs)
