Название: ChatGPT and the Future of AI: The Deep Language Revolution Автор: Terrence J. Sejnowski Издательство: The MIT Press Год: 2024 Страниц: 273 Язык: английский Формат: pdf (true), epub (true) Размер: 19.1 MB
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.
InChatGPT and the Future of AI , the sequel toThe 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.
Contents:
Preface Part I: Living with Large Language Models 1 Introduction 2 How Chatbots Are Changing Our Lives 3 Interviews with Large Language Models 4 The Power of the Prompt 5 What Are Intelligence, Thinking, and Consciousness? Part II: Transformers 6 Origins of Deep Learning 7 High-Dimensional Mathematics 8 Computational Infrastructure 9 Superintelligence 10 Regulation Part III: Back to the Future 11 Evolution of AI 12 The Next Generation 13 Learning from Nature 14 The Future Is Now Afterword Glossary Notes Index
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