At the time of the conversation, Denny Lee was Director of Developer Relations and a product management leader at Databricks, and a longtime contributor to Apache Spark and MLflow. On Chain of Thought he connected AI’s foundational data work to its frontier applications, explaining why logging, tracing, and data lineage are needed for credible evaluation.
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Latest episode with Denny Lee · EP 22
AI's Two Extremes – Foundations & The Frontier | Databricks’ Denny Lee
Denny Lee, Databricks ·
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In their words
Just as long I have the tooling and I have the data, then I can actually go ahead and improve the model. And then that becomes your IP. And so that's actually how you reduce the cost because from where we're sitting from and also from Galileo's perspective, right, the reality is we don't want you to go ahead and pre train unless you need to. Don't get me wrong.
AI's Two Extremes – Foundations & The Frontier | Databricks’ Denny Lee