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Ep 47: Chief AI Scientist of Databricks Jonathan Frankle on Why New Model Architectures are Unlikely, When to Pre-Train or Fine Tune, and Hopes for Future AI Policy
Jonathan Frankle is the Chief AI Scientist at Databricks ($43B), which he joined through the acquisition of MosaicML in July 2023. Databricks has over 12,000 customers on the cutting edge of AI; Jonathan works to anticipate their needs and offer solutions even as the tech is rapidly evolving.
[0:00] Intro
[0:52] Incentives and Team Motivation at Databricks
[2:40] The Evolution of AI Models: Transformers vs. LSTMs
[5:27] Mosaic and Databricks: A Strategic Merger
[7:31] Guidance on AI Model Training and Fine-Tuning
[11:11] Building Effective AI Evaluations
[16:02] Domain-Specific AI Models and Their Importance
[19:37] The Future of AI: Challenges and Opportunities
[25:07] Ethical Considerations and Human-AI Interaction
[29:13] Customer Collaboration and AI Implementation
[30:45] Navigating AI Tools and Techniques
[35:41] The Role of Open Source Models
[36:46] AI Infrastructure and Partnerships
[48:27] Academia's Role in AI Research
[52:09] Ethics and Policy in AI
[57:47] Quickfire
With your co-hosts:
@jacobeffron
- Partner at Redpoint, Former PM Flatiron Health
@patrickachase
- Partner at Redpoint, Former ML Engineer LinkedIn
@ericabrescia
- Former COO Github, Founder Bitnami (acq’d by VMWare)
@jordan_segall
- Partner at Redpoint
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By by Redpoint Ventures
4.9
4949 ratings
Jonathan Frankle is the Chief AI Scientist at Databricks ($43B), which he joined through the acquisition of MosaicML in July 2023. Databricks has over 12,000 customers on the cutting edge of AI; Jonathan works to anticipate their needs and offer solutions even as the tech is rapidly evolving.
[0:00] Intro
[0:52] Incentives and Team Motivation at Databricks
[2:40] The Evolution of AI Models: Transformers vs. LSTMs
[5:27] Mosaic and Databricks: A Strategic Merger
[7:31] Guidance on AI Model Training and Fine-Tuning
[11:11] Building Effective AI Evaluations
[16:02] Domain-Specific AI Models and Their Importance
[19:37] The Future of AI: Challenges and Opportunities
[25:07] Ethical Considerations and Human-AI Interaction
[29:13] Customer Collaboration and AI Implementation
[30:45] Navigating AI Tools and Techniques
[35:41] The Role of Open Source Models
[36:46] AI Infrastructure and Partnerships
[48:27] Academia's Role in AI Research
[52:09] Ethics and Policy in AI
[57:47] Quickfire
With your co-hosts:
@jacobeffron
- Partner at Redpoint, Former PM Flatiron Health
@patrickachase
- Partner at Redpoint, Former ML Engineer LinkedIn
@ericabrescia
- Former COO Github, Founder Bitnami (acq’d by VMWare)
@jordan_segall
- Partner at Redpoint
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