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
a16z Podcast
999 Listeners
The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
509 Listeners
Invest Like the Best with Patrick O'Shaughnessy
2,294 Listeners
Super Data Science: ML & AI Podcast with Jon Krohn
296 Listeners
FYI - For Your Innovation
387 Listeners
GZERO World with Ian Bremmer
730 Listeners
Last Week in AI
282 Listeners
All-In with Chamath, Jason, Sacks & Friedberg
8,774 Listeners
Dwarkesh Podcast
354 Listeners
No Priors: Artificial Intelligence | Technology | Startups
127 Listeners
Latent Space: The AI Engineer Podcast
65 Listeners
The AI Daily Brief (Formerly The AI Breakdown): Artificial Intelligence News and Analysis
428 Listeners
BG2Pod with Brad Gerstner and Bill Gurley
432 Listeners
Prof G Markets
912 Listeners
Training Data
37 Listeners