With so much rapid change happening around AI models, is there a framework for when to build models, train models, fine-tune models, use RAG or something else? Let’s explore…

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SHOW NOTES:

HOW SHOULD WE DECIDE WHICH AI MODEL TO USE FOR OUR APPLICATION?

Build, buy, use open source, augment with your own data - so many decisions
How often do you update models with new data?

HOW DO WE BRING OUR COMPANY DATA / KNOWLEDGE TO OUR AI MODELS?

Large Static Models - Predictive AI
LLMs + Slow-Changing Data - Align the Model
LLMs + Fast-Changing Data - RAG
LLMs + Agent-Learned Data - Agentic AI

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Slow Data, Fast Data and Adapting AI models for your business 21:12 Share

The Cloudcast

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Slow Data, Fast Data and Adapting AI models for your business