MosaicML’s VP Of Engineering, Hagay Lupesko, joins us today to discuss generative AI!  We talk about how to use existing models as well as ways to finetune these models to a particular task or domain. 00:01:28 Introductions00:02:09 Hagay’s circuitous career journey00:08:25 Building software for large factories00:17:30 The reality of new technologies00:28:10 AWS00:29:33 Pytorch’s leapfrog advantage00:37:24 MosaicML’s mission00:39:29 Generative AI00:44:39 Giant data models00:57:00 Data access tips01:10:31 MPT-7B01:27:01 Careers in Mosaic01:31:46 FarewellsResources mentioned in this episode:Join the Programming Throwdown Patreon community today: https://www.patreon.com/programmingthrowdown?ty=h Subscribe to the podcast on Youtube: https://www.youtube.com/@programmingthrowdown4793 Links:Hagay Lupesko:Linkedin: https://www.linkedin.com/in/hagaylupesko/Twitter: https://twitter.com/hagay_lupeskoGithub: https://github.com/lupeskoMosaicML:Website: https://www.mosaicml.com/Careers: https://www.mosaicml.com/careersTwitter: https://twitter.com/MosaicMLLinkedin: https://www.linkedin.com/company/mosaicml/Others:Amp It Up (Amazon): https://www.amazon.com/Amp-Unlocking-Hypergrowth-Expectations-Intensity/dp/1119836115Hugging Face Hub: https://huggingface.co/ If you’ve enjoyed this episode, you can listen to more on Programming Throwdown’s website: https://www.programmingthrowdown.com/ Reach out to us via email: [email protected] You can also follow Programming Throwdown on Facebook | Apple Podcasts | Spotify | Player.FM | Youtube Join the discussion on our DiscordHelp support Programming Throwdown through our Patreon

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