Podknife - Programmatic AI data development, Multimodal AI, False dichotomy of fine-tuning vs RAG, Compute-optimal LLMs | Alex Ratner, CEO of Snorkel AI by Infinite Machine Learning

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Programmatic AI data development, Multimodal AI, False dichotomy of fine-tuning vs RAG, Compute-optimal LLMs | Alex Ratner, CEO of Snorkel AI

Podcast |: Infinite Machine Learning
Publisher |: Prateek Joshi
Media Type |: audio
Podknife tags |: Artificial Intelligence,; Interview,; Machine Learning,; Technology
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

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