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GENERATIVE AI FOR BEGINNERS: UNDERSTANDING ARTIFICIAL INTELLIGENCE. UNLOCKING THE MATRIX WITH GPT-4, LLMS, DEEP NEURAL NETWORKS, AND PRACTICAL MACHINE LEARNING de ALEX QUANT

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GENERATIVE AI FOR BEGINNERS: UNDERSTANDING ARTIFICIAL INTELLIGENCE. UNLOCKING THE MATRIX WITH GPT-4, LLMS, DEEP NEURAL NETWORKS, AND PRACTICAL MACHINE LEARNING

ALEX QUANT

Idioma: Inglés

Formatos: Pdf, ePub, MOBI, FB2

ISBN: 9798894130019

Editorial: Longli Insight Publishing

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Overview

Artificial Intelligence is transforming industries and reshaping society, making AI literacy essential in todays fast-evolving digital landscape. This comprehensive guide introduces generative AI concepts for beginners, offering foundational knowledge on technologies like GPT-4, Large Language Models (LLMs), and neural networks. It explores the inner workings of GPT-4 and LLMs, the structure and function of deep learning and neural networks, and practical applications of AI technologies across various industry sectors.Designed to make AI accessible, the book covers real-world applications in fields such as art, design, business, and IT, revealing how AI can drive innovation and productivity. It offers insights into practical machine learning, emphasizing the significance of ethical AI development and responsible innovation. Readers gain strategies for using AI tools like ChatGPT, which enhance problem-solving and creativity through effective prompt design, and an understanding of quantum computings potential to revolutionize AI.With simplified explanations, examples, and future-focused insights, this book provides readers with the tools to understand and engage with AI on a practical level, preparing them to navigate and contribute to an AI-driven world. Offering a comprehensive overview of AI technologies, their applications and workings, the book targets several audiences. It is suitable as a guide for those who are curious to learn more about AI, as well as for business professionals discovering the potential of AI to develop their work projects and careers, and for IT and technical specialists transitioning into the field of artificial intelligence. Book length in print format: 239 pages. 

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