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026: Inside NVIDIA GTC 2024

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Manage episode 408121659 series 3533896
Innhold levert av Team PolyAI. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Team PolyAI eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.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
Watch this and other episodes of the Deep Learning pod on YouTube

  continue reading

30 episoder

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Manage episode 408121659 series 3533896
Innhold levert av Team PolyAI. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Team PolyAI eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.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
Watch this and other episodes of the Deep Learning pod on YouTube

  continue reading

30 episoder

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