Episode 4: AI Cost Optimization Part 2 - Tips on AI Grounding and Many Models

More data does not always translate to better data. How do you make your data more precise? And when it comes to generative LLM interaction, how do you get specific about what grounding data you’re adding? In Part 2 of Mark Souza’s tech dive into AI Cost Optimization, he teams up again with Dr. Dev Nadgir, Chief Architect, Microsoft Asia CTO Office and they explore AI Grounding and Many Models.

Learn more about RAG (Retrieval Augmented Generation) and how you can add this grounding data to your large language models (LLMs) by searching your knowledge bases, while optimizing this at a lower cost. All this and more in the latest insightful episode of #LetsTalkTech

#DataPrecision #AIInsights #TechTalk #AIoptimization #RAGmodel #LLMinteraction #AIgrounding #CostOptimization #TechDive #MicrosoftAsia #AIarchitecture #KnowledgeBases #techtipswithlipun

Chapters:
00:00 Introduction
01:00 Cost Optimization through AI
01:47 AI Grounding
03:52 Many Models for Cost Reduction
05:35 Large VS Small Models
07:19 Economics through Fine Tuning
10:10 Closing