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J

Speaker

Jonathan Frankle

6

talks

Chief Scientist - Neural Networks Databricks

Jonathan Frankle is Chief Scientist (Neural Networks) at Databricks, where he leads the research team to efficiently train neural networks. He joined Databricks through its $1.3B acquisition of MosaicML, where he was a founding member. He earned his PhD at MIT, where he empirically studied how neural networks learn, including the Lottery Ticket Hypothesis, which earned ICLR Best Paper status. He is also noted as a special guest AI/ML expert.

Bio from: Data + AI Summit 2025

Frequent Collaborators

Brandon Cui Databricks 2 Pallavi Koppol Databricks 2

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Data + AI Summit 2025 4 The Analytics Engineering Podcast 1 ML Show & Tell [In-Person] 1

Talks & appearances

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AI Evaluation from First Principles: You Can't Manage What You Can't Measure

AI Evaluation from First Principles: You Can't Manage What You Can't Measure

2025-06-12 · Data + AI Summit 2025 Watch
talk
with Pallavi Koppol (Databricks) , Jonathan Frankle (Databricks)
AI/ML Databricks GenAI LLM

Is your AI evaluation process holding back your system's true potential? Many organizations struggle with improving GenAI quality because they don't know how to measure it effectively. This research session covers the principles of GenAI evaluation, offers a framework for measuring what truly matters, and demonstrates implementation using Databricks.Key Takeaways:-Practical approaches for establishing reliable metrics for subjective evaluations-Techniques for calibrating LLM judges to enable cost-effective, scalable assessment-Actionable frameworks for evaluation systems that evolve with your AI capabilitiesWhether you're developing models, implementing AI solutions, or leading technical teams, this session will equip you to define meaningful quality metrics for your specific use cases and build evaluation systems that expose what's working and what isn't, transforming AI guesswork into measurable success.

TAO and Reinforcement Learning: Building AI With the Data You Have

TAO and Reinforcement Learning: Building AI With the Data You Have

2025-06-12 · Data + AI Summit 2025 Watch
talk
with Brandon Cui (Databricks) , Jonathan Frankle (Databricks)
AI/ML

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.

DevConnect Meetup

2025-06-10 · Data + AI Summit 2025
talk
with Jonathan Hsieh (LanceDB) , Cathy Yin (Databricks) , Andrew Shieh (Databricks) , Ziyi Yang (Databricks) , Andy Konwinski (Databricks) , Denny Lee (Databricks) , Asfandyar Qureshi (Databricks) , Yuki Watanabe (Databricks) , Brandon Cui (Databricks) , Andrew Drozdov (Databricks) , Anand Kannappan (Patronus AI) , Harsh Panchal (Databricks) , Tomu Hirata (Databricks) , Daya Khudia (Databricks) , Jose Javier Gonzalez (Databricks) , Jasmine Collins (Databricks) , MAHESWARAN SATHIAMOORTHY (Bespoke Labs) , Jonathan Chang (Databricks) , Matei Zaharia (Databricks) , Alexander Trott (Databricks) , Tejas Sundaresan (Databricks) , Pallavi Koppol (Databricks) , Jonathan Frankle (Databricks) , Erich Elsen (Databricks) , Ivan Zhou (Databricks) , Davis Blalock , Gayathri Murali (META)

https://bit.ly/devconnectdais

Navigating AI Complexity (w/ Jonathan Frankle)

2023-11-03 · The Analytics Engineering Podcast Listen
podcast_episode
with Tristan Handy (dbt Labs) , Julia Schottenstein (dbt labs) , Jonathan Frankle (Databricks)
AI/ML Analytics Analytics Engineering Databricks dbt GenAI

Jonathan Frankle is the Chief Scientist at MosaicML, which was recently bought by Databricks for $1.3 billion.  MosaicML helps customers train generative AI models on their data. Lots of companies are excited about gen AI, and the hope is that their company data and information will be what sets them apart from the competition.  In this conversation with Tristan and Julia, Jonathan discusses a potential future where you can train specialized, purpose-built models, the future of MosaicML inside of Databricks, and the importance of responsible AI practices. For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. The Analytics Engineering Podcast is sponsored by dbt Labs.