Sign up to save your podcasts
Or
Share Programmatic AI data development, Multimodal AI, False dichotomy of fine-tuning vs RAG, Compute-optimal LLMs | Alex Ratner, CEO of Snorkel AI
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
Programmatic AI data development, Multimodal AI, False dichotomy of fine-tuning vs RAG, Compute-optimal LLMs | Alex Ratner, CEO of Snorkel AI
Alex Ratner is the CEO of Snorkel AI, a platform that provides programmatic data labeling and foundation models to enable companies to build AI applications. They've raised $135M so far from amazing investors such as Addition, Greylock, Google Ventures, and Lightspeed. He was previously the cofounder and CEO of SiftPage. He has a bachelors degree from Harvard and a PhD from Stanford.
In this episode, we cover a range of topics including:
- Making AI data development first-class and programmatic
- The data-centric step for every model-centric step
- False dichotomy of fine tuning vs RAG
- Foundation model dynamics: winner take all vs diverse models
- Training compute-optimal LLMs
- Designing multimodal datasets (DataComp)
- Distilling Step-by-Step
- 'GPT-You' for every enterprise
Alex's favorite books: Foundation series books (Author: Isaac Asimov)
--------
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
View all episodes
By Prateek Joshi
4.9
88 ratings
Alex Ratner is the CEO of Snorkel AI, a platform that provides programmatic data labeling and foundation models to enable companies to build AI applications. They've raised $135M so far from amazing investors such as Addition, Greylock, Google Ventures, and Lightspeed. He was previously the cofounder and CEO of SiftPage. He has a bachelors degree from Harvard and a PhD from Stanford.
In this episode, we cover a range of topics including:
- Making AI data development first-class and programmatic
- The data-centric step for every model-centric step
- False dichotomy of fine tuning vs RAG
- Foundation model dynamics: winner take all vs diverse models
- Training compute-optimal LLMs
- Designing multimodal datasets (DataComp)
- Distilling Step-by-Step
- 'GPT-You' for every enterprise
Alex's favorite books: Foundation series books (Author: Isaac Asimov)
--------
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
More shows like Infinite Curiosity Pod with Prateek Joshi
View all
Notes on the Week Ahead
189 Listeners
a16z Podcast
1,034 Listeners
The Knowledge Project with Shane Parrish
2,645 Listeners
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
441 Listeners
Super Data Science: ML & AI Podcast with Jon Krohn
298 Listeners
FYI - For Your Innovation
394 Listeners
Last Week in AI
287 Listeners
All-In with Chamath, Jason, Sacks & Friedberg
9,189 Listeners
Dwarkesh Podcast
417 Listeners
Barron's Live
195 Listeners
No Priors: Artificial Intelligence | Technology | Startups
121 Listeners
Latent Space: The AI Engineer Podcast
75 Listeners
The AI Daily Brief (Formerly The AI Breakdown): Artificial Intelligence News and Analysis
485 Listeners
The Ben & Marc Show
135 Listeners
AI + a16z
31 Listeners