Programming Throwdown
Programming Throwdown
Patrick Wheeler and Jason Gauci
161: Leveraging Generative AI Models with Hagay Lupesko
1 hour 32 minutes Posted Jul 10, 2023 at 3:00 pm.
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
Programming Throwdown
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Show notes
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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