Explore real-world Large Language Model (LLM) use cases and learn techniques to keep them grounded and deliver accurate results in this 12-minute lightning talk from the LLMs in Prod Con Part III conference. Discover how to leverage Retrieval Augmented Generation (RAG) and databases with vector support as a bridge between LLMs and enterprise Gen AI applications. Gain insights from Hamsa Buvaraghan, Head of Google Cloud's AI Solution team, as she shares her expertise on unlocking the power of LLMs in practical applications. Delve into topics such as the LLM application stack, LMS limitations, and strategies for implementing LLMs in real-world scenarios.
Unlocking Real-World LLM Use Cases - Techniques for Accurate Results
Overview
Syllabus
Introduction
LLM Use Cases
LLM Application Stack
LMS Limitations
Unlocking RealWorld LLM Use Cases
Taught by
MLOps.community
