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785: Math, Quantum ML and Language Embeddings, with Dr. Luis Serrano

Dr. Luis Serrano from the Serrano Academy reveals how to make Math and Quantum ML accessible, tackles the challenges of teaching A.I. to beginners, and explores the power of embeddings in enterprise applications. Explore the future of Quantum Machine Learning and the latest trends in AI, including multimodality and autonomous systems.This episode is brought to you by AWS Inferentia and AWS Trainium. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatasc...

An episode of the Super Data Science: ML & AI Podcast with Jon Krohn podcast, hosted by Jon Krohn, titled "785: Math, Quantum ML and Language Embeddings, with Dr. Luis Serrano" was published on May 21, 2024 and runs 66 minutes.

May 21, 2024 ·66m · Super Data Science: ML & AI Podcast with Jon Krohn

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Dr. Luis Serrano from the Serrano Academy reveals how to make Math and Quantum ML accessible, tackles the challenges of teaching A.I. to beginners, and explores the power of embeddings in enterprise applications. Explore the future of Quantum Machine Learning and the latest trends in AI, including multimodality and autonomous systems.This episode is brought to you by AWS Inferentia and AWS Trainium. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• How math and AI can be made easy to understand [05:21]• The three major categories of learners [16:21]• Why embeddings are the most important component of LLMs [26:19]• How semantic search differs from a traditional keyword search [29:57]• The most exciting emerging application areas for AI [42:41]• The promising application areas for Quantum Machine Learning [49:18]Additional materials: www.superdatascience.com/785

Dr. Luis Serrano from the Serrano Academy reveals how to make Math and Quantum ML accessible, tackles the challenges of teaching A.I. to beginners, and explores the power of embeddings in enterprise applications. Explore the future of Quantum Machine Learning and the latest trends in AI, including multimodality and autonomous systems.This episode is brought to you by AWS Inferentia and AWS Trainium. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• How math and AI can be made easy to understand [05:21]• The three major categories of learners [16:21]• Why embeddings are the most important component of LLMs [26:19]• How semantic search differs from a traditional keyword search [29:57]• The most exciting emerging application areas for AI [42:41]• The promising application areas for Quantum Machine Learning [49:18]Additional materials: www.superdatascience.com/785
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