E36: Your Model, Your Weights with MosaicML's Abhi Venigalla and Jonathan Frankle

"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis - Podcast tekijän mukaan Erik Torenberg, Nathan Labenz

In this episode, Nathan sits down with Jonathan Frankle, Chief Scientist, and Abhi Venigalla, Research Scientist of MosaicML. They chat about Mosaic’s custom LLMs, the customers seeking Mosaic out and what their journeys and use cases look like, and exciting developments in Mosaic’s research: including their new inference platform, as well as Mosaic’s MPT-7B-65k+ storywriter model. RECOMMENDED PODCAST: The HR industry is at a crossroads. What will it take to construct the next generation of incredible businesses – and where can people leaders have the most business impact? Hosts Nolan Church and Kelli Dragovich have been through it all, the highs and the lows – IPOs, layoffs, executive turnover, board meetings, culture changes, and more. With a lineup of industry vets and experts, Nolan and Kelli break down the nitty-gritty details, trade offs, and dynamics of constructing high performing companies. Through unfiltered conversations that can only happen between seasoned practitioners, Kelli and Nolan dive deep into the kind of leadership-level strategy that often happens behind closed doors. Check out the first episode with the architect of Netflix’s culture deck Patty McCord. https://link.chtbl.com/hrheretics The Cognitive Revolution is a part of the Turpentine podcast network. To learn more: www.turpentine.co TIMESTAMPS: (00:00) Episode Preview (06:04) Mosaic’s business model (07:28) Who uses Mosaic’s custom LLMs? What does their data look like? (09:55)Mosaic’s use cases for custom LLMs (12:47) How much extraction and summarization was done by humans pre-LLMs? (15:28) Sponsor: Omneky (21:50) The journeys of Mosaic’s customers and would a Wendy’s LLM know about a Big Mac? (25:46) The curriculum model and fine-tuning (29:10) Language models in the life sciences (33:20) How raw can data be before it becomes a problem? (35:44) Using the output of bulk pre-training process vs additional after training (38:30) Redteaming as a service (39:40) Mosaic’s inference platform (41:53) Spending one cent on 20,000 tokens, how is that cent distributed? (46:00)) Selling compute on a dedicated capacity basis (47:30) Oracle and AWS (49:50) The storywriter model and 65,000 token window (54:35) The transition from finite parameters into infinite attention matrix LINKS: MosaicML: https://www.mosaicml.com/ MPT-7B Storywriter Model: https://huggingface.co/mosaicml/mpt-7b-storywriter TWITTER: @jefrankle (Jonathan) @abhi_venigalla (Abhi) @MosaicML (Mosaic) @CogRev_Podcast @labenz (Nathan) @eriktorenberg (Erik) SPONSORS: Shopify is the global commerce platform that helps you sell at every stage of your business. Shopify powers 10% of ALL eCommerce in the US. And Shopify's the global force behind Allbirds, Rothy's, and Brooklinen, and 1,000,000s of other entrepreneurs across 175 countries.From their all-in-one e-commerce platform, to their in-person POS system – wherever and whatever you're selling, Shopify's got you covered. With free Shopify Magic, sell more with less effort by whipping up captivating content that converts – from blog posts to product descriptions using AI. Sign up for $1/month trial period: https://shopify.com/cognitive Thank you Omneky for sponsoring The Cognitive Revolution. Omneky is an omnichannel creative generation platform that lets you launch hundreds of thousands of ad iterations that actually work, customized across all platforms, with a click of a button. Omneky combines generative AI and real-time advertising data. Mention "Cog Rev" for 10% off. This show is produced by Turpentine: a network of podcasts, newsletters, and more, covering technology, business, and culture — all from the perspective of industry insiders and experts. We’re launching new shows every week, and we’re looking for industry-leading sponsors — if you think that might be you and your company, email us at [email protected]. Music Credit: MusicLM

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