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Training Small LLMs
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In this episode, we dive deep into the emerging world of building and training small language models. We'll discuss the benefits, risks, and challenges companies face as they work to create more targeted and efficient AI models. From managing hardware and power requirements to ensuring data privacy and governance, we'll cover the key considerations for enterprises looking to leverage the power of small language models. Join us as we unpack this fascinating topic and consider the implications for the future of AI and infrastructure operations. Transcript https://otter.ai/u/xJ5T-x70WUFQ55ZAsRQr57q6zwE Reference: https://www.composabl.com/
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Manage episode 444706818 series 1558354
Content provided by the2030.cloud Podcast and The2030.cloud Podcast. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by the2030.cloud Podcast and The2030.cloud Podcast 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://podcastplayer.com/legal.
In this episode, we dive deep into the emerging world of building and training small language models. We'll discuss the benefits, risks, and challenges companies face as they work to create more targeted and efficient AI models. From managing hardware and power requirements to ensuring data privacy and governance, we'll cover the key considerations for enterprises looking to leverage the power of small language models. Join us as we unpack this fascinating topic and consider the implications for the future of AI and infrastructure operations. Transcript https://otter.ai/u/xJ5T-x70WUFQ55ZAsRQr57q6zwE Reference: https://www.composabl.com/
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