Agentic machine learning with Genie Code (includes demo)
Key Takeaways
Building agentic machine learning models with Genie Code
Original Description
Genie Code now comes with upgraded intelligence for ML engineering and native integrations across every Databricks ML Platform component: feature engineering, model training, serving, and monitoring.
Learn more: https://www.databricks.com/blog/whats-new-ai-platform-agents-ml-engineering-our-deep-learning-platform-and-new-capabilities
00:00 — Mike Del Balso, Director, Product Management, Databricks
01:12 — The hidden tech debt of ML systems
03:43 — AI agents are the the only way to automate ML
04:44 — Agent-ready infrastructure with Databricks
07:46 — Introducing AI Runtime
08:55 — Driving the agent loop with context
09:19 — Introducing Genie Code for ML
13:29 — The looming AI maintenance burden
14:26 — Introducing Genie ZeroOps for ML
15:49 — Justin introduces Amber Roberts, Staff Tech Marketing Engineer, Databricks
16:08 — Amber demos Genie ZeroOps for ML
21:47 — Mike wraps up
Presenters:
Mike Del Balso, Director, Product Management, Databricks
Amber Roberts, Staff Tech Marketing Engineer, Databricks
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Chapters (12)
Mike Del Balso, Director, Product Management, Databricks
1:12
The hidden tech debt of ML systems
3:43
AI agents are the the only way to automate ML
4:44
Agent-ready infrastructure with Databricks
7:46
Introducing AI Runtime
8:55
Driving the agent loop with context
9:19
Introducing Genie Code for ML
13:29
The looming AI maintenance burden
14:26
Introducing Genie ZeroOps for ML
15:49
Justin introduces Amber Roberts, Staff Tech Marketing Engineer, Databricks
16:08
Amber demos Genie ZeroOps for ML
21:47
Mike wraps up
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Tutor Explanation
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