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

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Manage episode 419422019 series 2532807
Content provided by Super Data Science: ML & AI Podcast with Jon Krohn and Jon Krohn. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Super Data Science: ML & AI Podcast with Jon Krohn and Jon Krohn 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.
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 (https://go.aws/3zWS0au) and AWS Trainium (https://go.aws/3ycV6K0). Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com 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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795 episodes

Artwork
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Manage episode 419422019 series 2532807
Content provided by Super Data Science: ML & AI Podcast with Jon Krohn and Jon Krohn. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Super Data Science: ML & AI Podcast with Jon Krohn and Jon Krohn 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.
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 (https://go.aws/3zWS0au) and AWS Trainium (https://go.aws/3ycV6K0). Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com 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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