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You're reading from  The Machine Learning Solutions Architect Handbook - Second Edition

Product typeBook
Published inApr 2024
PublisherPackt
ISBN-139781805122500
Edition2nd Edition
Concepts
Machine Learning
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Author (1)
David Ping
David Ping
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David Ping

David Ping is an accomplished author and industry expert with over 28 years of experience in the field of data science and technology. He currently serves as the leader of a team of highly skilled data scientists and AI/ML solutions architects at AWS. In this role, he assists organizations worldwide in designing and implementing impactful AI/ML solutions to drive business success. David's extensive expertise spans a range of technical domains, including data science, ML solution and platform design, data management, AI risk, and AI governance. Prior to joining AWS, David held positions in renowned organizations such as JPMorgan, Credit Suisse, and Intel Corporation, where he contributed to the advancements of science and technology through engineering and leadership roles. With his wealth of experience and diverse skill set, David brings a unique perspective and invaluable insights to the field of AI/ML.
Read more about David Ping

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The advancement and economic impact of generative AI

Over the past decade, there has been remarkable progress in the field of generative AI, which involves the creation of realistic images, audio, video, and text. This advancement has been driven by increased computational power, access to vast internet datasets, and advancement in ML algorithms. Both open-source communities and commercial entities have played pivotal roles in pushing the boundaries of generative AI.

Prominent organizations like OpenAI, Stability AI, Meta, Google, the Technology Innovation Institute (TII), Hugging Face, and EleutherAI have contributed by open sourcing models such as GPT-2, OPT, LlaMA, Falcon, BLOOM, and GPT-J, fostering innovation within the community. On the commercial front, companies like OpenAI, Anthropics, Cohere, Amazon, and Google have made substantial investments in proprietary models like GPT-4, Claude, Cohere, Titan, and PaLM, leveraging cutting-edge transformer architectures and massive...

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The Machine Learning Solutions Architect Handbook - Second Edition
Published in: Apr 2024Publisher: PacktISBN-13: 9781805122500
© 2024 Packt Publishing Limited All Rights Reserved

Author (1)

author image
David Ping

David Ping is an accomplished author and industry expert with over 28 years of experience in the field of data science and technology. He currently serves as the leader of a team of highly skilled data scientists and AI/ML solutions architects at AWS. In this role, he assists organizations worldwide in designing and implementing impactful AI/ML solutions to drive business success. David's extensive expertise spans a range of technical domains, including data science, ML solution and platform design, data management, AI risk, and AI governance. Prior to joining AWS, David held positions in renowned organizations such as JPMorgan, Credit Suisse, and Intel Corporation, where he contributed to the advancements of science and technology through engineering and leadership roles. With his wealth of experience and diverse skill set, David brings a unique perspective and invaluable insights to the field of AI/ML.
Read more about David Ping

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