Fr. 36.50

ChatGPT and the Future of AI - The Deep Language Revolution

Inglese · Tascabile

Spedizione di solito entro 4 a 7 giorni lavorativi

Descrizione

Ulteriori informazioni

An insightful exploration of Chat GPT and other advanced AI systems—how we got here, where we’re headed, and what it all means for how we interact with the world. In ChatGPT and the Future of AI , the sequel to The Deep Learning Revolution , Terrence Sejnowski offers a nuanced exploration of large language models (LLMs) like ChatGPT and what their future holds. How should we go about understanding LLMs? Do these language models truly understand what they are saying? Or is it possible that what appears to be intelligence in LLMs may be a mirror that merely reflects the intelligence of the interviewer? In this book, Sejnowski, a pioneer in computational approaches to understanding brain function, answers all our urgent questions about this astonishing new technology. Sejnowski begins by describing the debates surrounding LLMs’ comprehension of language and exploring the notions of “thinking” and “intelligence.” He then takes a deep dive into the historical evolution of language models, focusing on the role of transformers, the correlation between computing power and model size, and the intricate mathematics shaping LLMs. Sejnowski also provides insight into the historical roots of LLMs and discusses the potential future of AI, focusing on next-generation LLMs inspired by nature and the importance of developing energy-efficient technologies. Grounded in Sejnowski’s dual expertise in AI and neuroscience, ChatGPT and the Future of AI is the definitive guide to understanding the intersection of AI and human intelligence.

Dettagli sul prodotto

Autori Terrence J Sejnowski, Terrence J. Sejnowski, Sejnowski Terrence J.
Editore The MIT Press
 
Lingue Inglese
Formato Tascabile
Pubblicazione 29.10.2024
 
EAN 9780262049252
ISBN 978-0-262-04925-2
Pagine 264
Dimensioni 154 mm x 229 mm x 19 mm
Categorie Scienze sociali, diritto, economia > Economia

TECHNOLOGY & ENGINEERING / Social Aspects, COMPUTERS / History, Information technology: general issues, Natural language and machine translation

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