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商品描述
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.
商品描述(中文翻譯)
對於 Chat GPT 和其他先進 AI 系統的深刻探索——我們是如何走到這裡的，我們的未來方向，以及這一切對我們與世界互動的意義。
在 ChatGPT 與 AI 的未來 中，這是 深度學習革命 的續集，Terrence Sejnowski 提供了對大型語言模型（LLMs）如 ChatGPT 的細緻探索，以及它們的未來將會如何。我們應該如何理解 LLMs？這些語言模型真的理解它們所說的內容嗎？還是說，LLMs 中看似的智慧可能只是反映了提問者的智慧的鏡子？在這本書中，Sejnowski，作為理解大腦功能的計算方法的先驅，回答了我們對這項驚人新技術的所有迫切問題。 Sejnowski 首先描述了圍繞 LLMs 語言理解的辯論，並探討了「思考」和「智慧」的概念。接著，他深入探討了語言模型的歷史演變，重點關注變壓器的角色、計算能力與模型大小之間的關聯，以及塑造 LLMs 的複雜數學。Sejnowski 也提供了 LLMs 的歷史根源的見解，並討論了 AI 的潛在未來，重點在於受自然啟發的下一代 LLMs 以及開發能源效率技術的重要性。 基於 Sejnowski 在 AI 和神經科學方面的雙重專業知識，ChatGPT 與 AI 的未來 是理解 AI 與人類智慧交集的權威指南。作者簡介
Terrence J. Sejnowski is Francis Crick Chair at The Salk Institute for Biological Studies and Distinguished Professor at the University of California at San Diego. He has published over 500 scientific papers and 12 books, including The Computational Brain with Patricia Churchland. He was instrumental in shaping the BRAIN Initiative that was announced by the White House in 2013, and he received the prestigious Gruber Prize in Neuroscience in 2022.
作者簡介(中文翻譯)
特倫斯·J·塞伊諾斯基（Terrence J. Sejnowski）是索克生物研究所（The Salk Institute for Biological Studies）的法蘭西斯·克里克講座教授（Francis Crick Chair），同時也是加州大學聖地牙哥分校（University of California at San Diego）的傑出教授。他已發表超過500篇科學論文和12本書籍，包括與帕特里夏·丘奇蘭（Patricia Churchland）合著的《計算大腦》（The Computational Brain）。他在2013年白宮宣布的BRAIN計畫中發揮了重要作用，並於2022年獲得了著名的格魯伯神經科學獎（Gruber Prize in Neuroscience）。
