Session
TAO and Reinforcement Learning: Building AI With the Data You Have
Overview
Experience | In Person |
---|---|
Type | Breakout |
Track | Artificial Intelligence |
Industry | Enterprise Technology |
Technologies | MLFlow, Mosaic AI |
Skill Level | Advanced |
Duration | 40 min |
Curious about the cutting-edge technology that's revolutionizing AI model performance? Join us for an in-depth exploration of TAO and discover how this innovative approach is transforming the capabilities of modern AI systems. This research-focused session peels back the layers of theoretical foundations, implementation challenges, and breakthrough applications that make TAO one of the most promising advancements in AI development.
Key takeaways:
- Understanding the fundamental principles behind TAO and how it differs from conventional optimization techniques
- Examining the quantifiable improvements in model accuracy, efficiency, and generalization capabilities
- Exploring real-world case studies where TAO has solved previously intractable AI challenges
- Analyzing current research directions and future potential for further enhancements
Whether you're a research scientist, AI engineer, or technical leader, this session will equip you with valuable insights into how TAO can be leveraged to push your AI models beyond current limitations.
Session Speakers
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Jonathan Frankle
/Databricks
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Brandon Cui
/Databricks