AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
The Analytics Engineering Podcast
Navigating AI Complexity (w/ Jonathan Frankle)
Nov 3, 2023
Jonathan Frankle, Chief Scientist at MosaicML, discusses the future of training specialized models, MosaicML inside Databricks, and responsible AI practices. They explore LLM-based systems, one-way hash functions, and the integration of Databricks platform. The trade-off between model size, cost, and complexity in AI training is also touched upon.
46:20
Episode guests
AI Summary
AI Chapters
Episode notes
Podcast summary created with Snipd AI
Quick takeaways
- Custom AI models tailored to specific data are more effective in solving unique problems.
- Mosaic ML recommends a crawl-walk-run approach to finding the optimal trade-off between model size, training time, and data quantity.
Deep dives
Customization through Training Specialized Models
Mosaic ML focuses on training custom AI models tailored to a company's specific data, goals, and requirements. They believe that one-size-fits-all models are not efficient in solving unique problems. By providing the tools and infrastructure, Mosaic enables customers to train specialized purpose-built models, such as generative AI models, to gain a competitive edge in their respective industries.
Get the Snipd
podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any
moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share
& Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode