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The Future is Fine Tuned (with Dev Rishi, Predibase)
Manage episode 420005406 series 3514761
Content provided by Daniel Reid Cahn. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Daniel Reid Cahn 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.
Dev Rishi is the founder and CEO of Predibase, the company behind Ludwig and LoRAX. Predibase just released LoRA Land, a technical report showing 310 models that can outcompete GPT-4 on specific tasks through fine-tuning. In this episode, Dev tries (pretty successfully) to convince me that fine-tuning is the future, while answering a bunch of interesting questions, like:
- Is fine-tuning hard?
- If LoRAX is a competitive advantage for you, why open-source it?
- Is model hosting becoming commoditized? If so, how can anyone compete?
- What are people actually fine-tuning language models for?
- How worried are you about OpenAI eating your lunch?
I had a ton of fun with Dev on this one. Also, check out Predibase’s newsletter called fine-tuned (great name!) and LoRA Land.
26 episodes
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Manage episode 420005406 series 3514761
Content provided by Daniel Reid Cahn. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Daniel Reid Cahn 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.
Dev Rishi is the founder and CEO of Predibase, the company behind Ludwig and LoRAX. Predibase just released LoRA Land, a technical report showing 310 models that can outcompete GPT-4 on specific tasks through fine-tuning. In this episode, Dev tries (pretty successfully) to convince me that fine-tuning is the future, while answering a bunch of interesting questions, like:
- Is fine-tuning hard?
- If LoRAX is a competitive advantage for you, why open-source it?
- Is model hosting becoming commoditized? If so, how can anyone compete?
- What are people actually fine-tuning language models for?
- How worried are you about OpenAI eating your lunch?
I had a ton of fun with Dev on this one. Also, check out Predibase’s newsletter called fine-tuned (great name!) and LoRA Land.
26 episodes
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Similar to Thinking Machines: AI & Philosophy
Redefining AI is the 2024 New York Digital Award winning tech podcast! Discover a whole new take on Artificial Intelligence in joining host Lauren Hawker Zafer, a top voice in Artificial Intelligence on LinkedIn, for insightful chats that unravel the fascinating world of tech innovation, use case exploration and AI knowledge. Dive into candid discussions with accomplished industry experts and established academics. With each episode, you'll expand your grasp of cutting-edge technologies and ...
…
continue reading
Show notes are at https://stevelitchfield.com/sshow/chat.html
…
continue reading
Embedded is the show for people who love gadgets. Making them, breaking them, and everything in between. Weekly interviews with engineers, educators, and enthusiasts. Find the show, blog, and more at embedded.fm.
…
continue reading
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continue reading
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…
continue reading
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…
continue reading
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…
continue reading
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The 21st Century began with the rise of the Internet and social media. The next decade will mark the rise of the Intelligent Machines. AI will inhabit all our devices from cars and appliances to smart phones and robots. The Intelligent Machines podcast explores the most exciting revolution humanity has ever seen, filled with promise and peril. More than ever we need to understand what these new devices will bring to our lives and how to make best use of them as the 21st century unfolds. On t ...
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A podcast about web design and development.
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