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767: Open-Source LLM Libraries and Techniques, with Dr. Sebastian Raschka

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Content provided by Super Data Science: ML & AI Podcast with Jon Krohn and Jon Krohn. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Super Data Science: ML & AI Podcast with Jon Krohn and Jon Krohn 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://ro.player.fm/legal.
Jon Krohn sits down with Sebastian Raschka to discuss his latest book, Machine Learning Q and AI, the open-source libraries developed by Lightning AI, how to exploit the greatest opportunities for LLM development, and what’s on the horizon for LLMs. This episode is brought to you by the DataConnect Conference (https://www.dataconnectconf.com/dccwest/conference), and by Data Universe, the out-of-this-world data conference (https://datauniverse2024.com). Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information. In this episode you will learn: • All about Machine Learning Q and AI [04:13] • Sebastian Raschka’s role as Staff Research Engineer at Lightning AI [19:21] • PyTorch Lightning’s and Lightning Fabric’s capabilities [39:32] • Large language models: Opportunities and challenges [43:35] • DoRA vs LoRA [48:56] • How to be a successful AI educator [1:34:18] Additional materials: www.superdatascience.com/767
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782 episoade

Artwork
iconDistribuie
 
Manage episode 407734880 series 1278026
Content provided by Super Data Science: ML & AI Podcast with Jon Krohn and Jon Krohn. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Super Data Science: ML & AI Podcast with Jon Krohn and Jon Krohn 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://ro.player.fm/legal.
Jon Krohn sits down with Sebastian Raschka to discuss his latest book, Machine Learning Q and AI, the open-source libraries developed by Lightning AI, how to exploit the greatest opportunities for LLM development, and what’s on the horizon for LLMs. This episode is brought to you by the DataConnect Conference (https://www.dataconnectconf.com/dccwest/conference), and by Data Universe, the out-of-this-world data conference (https://datauniverse2024.com). Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information. In this episode you will learn: • All about Machine Learning Q and AI [04:13] • Sebastian Raschka’s role as Staff Research Engineer at Lightning AI [19:21] • PyTorch Lightning’s and Lightning Fabric’s capabilities [39:32] • Large language models: Opportunities and challenges [43:35] • DoRA vs LoRA [48:56] • How to be a successful AI educator [1:34:18] Additional materials: www.superdatascience.com/767
  continue reading

782 episoade

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