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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… SHOW: 852 SHOW TRANSCRIPT: The Cloudcast #852 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw CHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS" SHOW SPONSOR: 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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