You've probably heard people say some variation of the phrase that there is no AI strategy without a data strategy. And, of course, that's true. But how does that play out on the implementation level?
Special guest Josh Reini, AI & Developer Advocate from Snowflake, joins us to show you how to build AI-powered data products using DataOps.live, Snowflake, and TruLens.
We'll show you how to:
- Use data pipelines to fine-tune Large Language Models (LLM) to save cost
- Create high-quality models from training and validation data
- Leverage the fine-tuned model in your data application
-
Incorporate feedback over time and assess model quality drift
You'll walk away understanding how to use data operations to save money and increase the quality of your fine-tuned, domain-specific foundation models.
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