Please login or sign up to post and edit reviews.
Programmatic AI data development, Multimodal AI, False dichotomy of fine-tuning vs RAG, Compute-optimal LLMs | Alex Ratner, CEO of Snorkel AI
Publisher |
Prateek Joshi
Media Type |
audio
Categories Via RSS |
Technology
Publication Date |
Sep 18, 2023
Episode Duration |
00:51:11

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 

This episode currently has no reviews.

Submit Review
This episode could use a review!

This episode could use a review! Have anything to say about it? Share your thoughts using the button below.

Submit Review