It didn’t all change in March 2020. Not really. The UK high street has been in the throes of a gradual revolution for decades. From the rise of ecommerce, to the birth of mobile, social commerce, and a growing emphasis on experience, change has been underway for a while. In fact for many, the pandemic has acted as a wake-up call. Digital transformation was no longer a ‘nice to have’ but a matter of survival. Necessity sparked innovation and customers are enjoying more flexibility and conveni ...
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026: Inside NVIDIA GTC 2024
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Content provided by Team PolyAI. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Team PolyAI 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://player.fm/legal.
Join Damien and Tomasz, a senior machine learning engineer at PolyAI, as they discuss the key highlights of NVIDIA's megacon GTC. They discuss standout sessions, including the announcement of NVIDIA Blackwater platform for reducing cost and energy requirements of high-performance AI systems. They also talk about the concerns around the size of language models, ethical utilization of AI, and PolyAI's presentation on automatic speech recognition. Furthermore, they touch upon the challenges and potential solutions related to large language models, and the preference towards smaller models in the ASR space.
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Manage episode 408121659 series 3533896
Content provided by Team PolyAI. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Team PolyAI 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://player.fm/legal.
Join Damien and Tomasz, a senior machine learning engineer at PolyAI, as they discuss the key highlights of NVIDIA's megacon GTC. They discuss standout sessions, including the announcement of NVIDIA Blackwater platform for reducing cost and energy requirements of high-performance AI systems. They also talk about the concerns around the size of language models, ethical utilization of AI, and PolyAI's presentation on automatic speech recognition. Furthermore, they touch upon the challenges and potential solutions related to large language models, and the preference towards smaller models in the ASR space.
Follow PolyAI on LinkedIn
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45 episodes
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Similar to Deep Learning with PolyAI
It didn’t all change in March 2020. Not really. The UK high street has been in the throes of a gradual revolution for decades. From the rise of ecommerce, to the birth of mobile, social commerce, and a growing emphasis on experience, change has been underway for a while. In fact for many, the pandemic has acted as a wake-up call. Digital transformation was no longer a ‘nice to have’ but a matter of survival. Necessity sparked innovation and customers are enjoying more flexibility and conveni ...
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continue reading
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continue reading
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…
continue reading
Call them changemakers. Call them rule breakers. We call them Redefiners. And in this provocative podcast, we explore how daring leaders from across industries and around the globe are redefining their organizations—and themselves—to create extraordinary impact in today’s rapidly changing world. In each episode, Russell Reynolds Associates Leadership Advisor Hoda Tahoun and former CEO Clarke Murphy host engaging, purposeful conversations with leaders in and out of the business world who shar ...
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The traditional enterprise go-to-market motion is undergoing a transformational shift. B2B buyers are more sophisticated than ever, and operational efficiency is a key focus for every organization. One key function possesses a unique opportunity to shape the future of revenue generation: enablement. On this podcast, we’re bringing you the secrets, strategies, and tactics that successful enablement leaders are using to drive meaningful impact. The Enablement Edge is the go-to resource for sal ...
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