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Content provided by Prateek Joshi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Prateek Joshi or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
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LLM Data Frontiers
Manage episode 396908499 series 3370867
Content provided by Prateek Joshi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Prateek Joshi or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Curtis Northcutt is the cofounder and CEO of Cleanlab, a data curation platform for LLMs. They have raised $30M in funding from Bain Capital Ventures, Menlo, Databricks, and TQ. He was previously the cofounder and CTO of ChipBrain. He has a PhD in Computer Science from MIT.
(00:07) Data Curation in the Context of LLMs
(01:14) Connection between Language Models and Computer Science
(03:14) Importance of Data Curation for LLMs
(04:06) Challenges in Data Curation for LLMs
(06:09) Confident Learning and its Concept
(09:42) CleanLab and its Role
(12:42) Role of Open Source Datasets and Tooling
(15:08) Balancing Data and Privacy in Regulated Industries
(17:25) Feasibility of Federated Learning
(20:35) Decentralized Compute and Aggregating Compute Clusters
(25:19) Determining Model Size for Data Representation
(27:09) Advice for ML Engineers in Handling Data Curation
(30:20) Rapid Fire Round
Curtis's favorite book: The Bible (in the context of marketing)
--------
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
171 episodes
Share
Manage episode 396908499 series 3370867
Content provided by Prateek Joshi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Prateek Joshi or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Curtis Northcutt is the cofounder and CEO of Cleanlab, a data curation platform for LLMs. They have raised $30M in funding from Bain Capital Ventures, Menlo, Databricks, and TQ. He was previously the cofounder and CTO of ChipBrain. He has a PhD in Computer Science from MIT.
(00:07) Data Curation in the Context of LLMs
(01:14) Connection between Language Models and Computer Science
(03:14) Importance of Data Curation for LLMs
(04:06) Challenges in Data Curation for LLMs
(06:09) Confident Learning and its Concept
(09:42) CleanLab and its Role
(12:42) Role of Open Source Datasets and Tooling
(15:08) Balancing Data and Privacy in Regulated Industries
(17:25) Feasibility of Federated Learning
(20:35) Decentralized Compute and Aggregating Compute Clusters
(25:19) Determining Model Size for Data Representation
(27:09) Advice for ML Engineers in Handling Data Curation
(30:20) Rapid Fire Round
Curtis's favorite book: The Bible (in the context of marketing)
--------
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
171 episodes
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Similar to Infinite Curiosity Pod with Prateek Joshi
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continue reading
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Redefining AI is the 2024 New York Digital Award winning tech podcast! Discover a whole new take on Artificial Intelligence in joining host Lauren Hawker Zafer, a top voice in Artificial Intelligence on LinkedIn, for insightful chats that unravel the fascinating world of tech innovation, use case exploration and AI knowledge. Dive into candid discussions with accomplished industry experts and established academics. With each episode, you'll expand your grasp of cutting-edge technologies and ...
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The director’s commentary track for Daring Fireball. Long digressions on Apple, technology, design, movies, and more.
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