Genie Code for machine learning brings agentic development to ML workflows #databricks
Key Takeaways
Introduces Genie Code for machine learning, enabling agentic development in ML workflows with Databricks
Full Transcript
Nobody has seen more machine learning in the real world than Databricks. So, we've taken all of those lessons, what works, what doesn't work, what good looks like in production, and we've built that into Genie code. Genie code is also natively integrated with the complete machine learning stack. So, it knows how to use all of those components, all that infrastructure I just showed, better than any other coding agent. And what I'm most excited about is we've upgraded the context in Genie code. So, it now knows how your machine learning teams and how your data science teams actually work, so it can make recommendations and do work alongside your teams.
Original Description
Mike Del Balso, Databricks Director of Product Management, introduces Genie Code for machine learning – new, extended support for the entire ML lifecycle.
Genie Code is now natively integrated with the complete Databricks ML stack, including feature engineering, model training, serving, and monitoring.
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