MosaicML is a platform for training and deploying large AI models at scale. Explore their docs, check out their blog, and keep an eye on their open roles.
Jonathan Frankle is the Chief Scientist at MosaicML and an incoming Assistant Professor of Computer Science at Harvard.
Abhinav Venigalla is the NLP Architect at MosaicML.
Today’s Lifeboat badge winner ... Show More
Yesterday
You’re probably underutilizing your GPUs
<p>Ryan is joined by Jared Quincy Davis, CEO and co-founder of Mithril, to explore the importance of efficient resource allocation and GPU utilization in AI, the myth and misconceptions of the GPU shortage, and how the economics of GPU will change with new scheduling and utilizat ... Show More
26m 14s
Nov 21
Only you can stop AI database drops
<p>Ryan is joined by David Hsu, CEO and founder of Retool, to explore how AI is transforming the role of a software developer into a software architect, the increasing accessibility of coding for non-engineers, and the importance of placing guardrails and higher-level programming ... Show More
32m 13s
Nov 18
How to create agents that people actually want to use
<p>Ryan welcomes Assaf Elovic, head of AI at monday.com, to discuss creating AI tools that users will actually adopt, how they created their Monday Sidekick agent with the user experience in mind, and the opportunities that AI creates for better productivity and more efficiency.< ... Show More
27m 7s
Jul 2023
MosaicML's Naveen Rao on Making Custom LLMs More Accessible - Ep. 199
Startup MosaicML is on a mission to help the AI community enhance prediction accuracy, decrease costs, and save time by providing tools for easy training and deployment of large AI models. In this episode of NVIDIA's AI Podcast, host Noah Kravitz speaks with MosaicML CEO and co-f ... Show More
31m 26s
Feb 2024
#179 Why ML Projects Fail, and How to Ensure Success with Eric Siegel, Founder of Machine Learning Week, Former Columbia Professor, and Bestselling Author
We are in a Generative AI hype cycle. Every executive looking at the potential generative AI today is probably thinking about how they can allocate their department's budget to building some AI use cases. However, many of these use cases won't make it into production.In a similar ... Show More
48 m
Jan 2024
AI Trends 2024: Machine Learning & Deep Learning with Thomas Dietterich - #666
Today we continue our AI Trends 2024 series with a conversation with Thomas Dietterich, distinguished professor emeritus at Oregon State University. As you might expect, Large Language Models figured prominently in our conversation, and we covered a vast array of papers and use c ... Show More
1h 5m
Aug 2023
20VC: Spending $2M to Train a Single AI Model: What Matters More; Model Size or Data Size | Hallucinations: Feature or Bug | Will Everyone Have an AI Friend in the Future & Raising $150M from a16z with Noam Shazeer, Co-Founder & CEO @ Character.ai
<p><!-- wp:paragraph --></p> <p>Noam Shazeer is the co-founder and CEO of <a href= "https://beta.character.ai/">Character.AI</a>, a full-stack AI computing platform that gives people access to their own flexible superintelligence. A renowned computer scientist and researcher, Sha ... Show More
35m 9s
Mar 2022
Bayesian Machine Learning with Ravin Kumar (Ep. 191)
<p>This is one episode where passion for math, statistics and computers are merged.
I have a very interesting conversation with Ravin, data scientist at Google where he uses data to inform decisions.</p>
<p>He has previously worked at Sweetgreen, designing systems that would b ... Show More
31m 12s