Ai Foundations Of Gpt
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Ai Foundations Of Gpt
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Author : Jon Adams
language : en
Publisher: Green Mountain Computing
Release Date :
Ai Foundations Of Gpt written by Jon Adams and has been published by Green Mountain Computing this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Dive into the heart of artificial intelligence with "AI Foundations of GPT," a groundbreaking book that charts the journey of Generative Pre-trained Transformers (GPT) from their conceptual inception to their role as cornerstones of modern AI applications. This meticulously crafted text serves as both a historical narrative and a forward-looking discussion, exploring the myriad ways in which GPT technology is reshaping our digital landscape. Key Features: Comprehensive Coverage: From the AI revolution to the future of GPT, each chapter is dedicated to a different facet of GPT technology, ensuring readers gain a well-rounded understanding of its complexities and capabilities. Accessible Explanations: Designed to cater to both AI aficionados and newcomers, the book explains the technical underpinnings of GPT models in an engaging and understandable manner. Future-Oriented: Offers a peek into the potential advancements and challenges that lie ahead for GPT technology, encouraging readers to ponder its implications for society and industry. Chapters: The AI Revolution: An overview of how artificial intelligence has evolved, setting the stage for the emergence of GPT. Understanding GPT: Breaks down the basics of Generative Pre-trained Transformers, explaining what they are and why they matter. The Mechanics of GPT: Delves into the technical aspects of how GPT models work, from algorithms to neural networks. Training GPT Models: Discusses the process of training GPT models, highlighting the resources and methodologies involved. Applications of GPT: Explores the diverse applications of GPT in various fields such as literature, customer service, and software development. Ethical Considerations: Examines the ethical dilemmas and considerations surrounding the use of GPT technology. The Business of GPT: Analyzes the economic landscape of GPT, including its impact on industries and business models. Limitations and Challenges: Acknowledges the limitations of current GPT models and the challenges facing their development. The Future of GPT: Speculates on the future advancements of GPT technology and its potential societal impacts. Whether you're deeply embedded in the world of AI or simply curious about the technologies shaping our future, "AI Foundations of GPT" offers a rich, insightful exploration of one of the most significant developments in artificial intelligence. Embark on this journey to understand not just the mechanics of GPT, but its profound implications on our world.
Ai Foundations Of Generative Ai
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Author : Jon Adams
language : en
Publisher: Green Mountain Computing
Release Date :
Ai Foundations Of Generative Ai written by Jon Adams and has been published by Green Mountain Computing this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Dive into the captivating world of Generative AI with "AI Foundations of Generative AI," a groundbreaking exploration at the crossroads of creativity and technology. This enlightening book serves as your comprehensive guide through the burgeoning field of Generative AI, where machines wield the power of creativity to produce art, music, literature, and more. Authored by leading experts in the field, this book demystifies the complex algorithms behind AI's ability to emulate human creativity, offering readers a front-row seat to the future of digital innovation. Key Features: Engaging Content: Written in an accessible style, free from daunting jargon, making complex concepts approachable for all readers. Interactive Exercises: Hands-on activities to deepen understanding of AI principles. Ethical Considerations: Insightful discussions on the moral implications of virtual influencers, deepfakes, and AI-driven creativity. Chapters Overview: The Digital Composer: Uncover how AI creates symphonies that challenge the works of great composers. Artistic Algorithms: Explore the systems generating visual art indistinguishable from human-created pieces. Wordsmiths of the Digital Age: Delve into how AI crafts poetry and prose with the finesse of human writers. Synthesized Realities: Navigate the creation of hyper-realistic images, videos, and sounds through AI. Virtual Influencers and Moral Codes: Examine the ethical dimensions of AI-driven personalities and content. Data Driven Storytelling: Understand how AI transforms data into compelling narratives and interactive experiences. Chat GPT and Open AI: Gain insights into the organizations and technologies at the forefront of generative AI. Content Tailored by Technology: Discover the future of personalized media and digital environments shaped by AI. Perfect for tech enthusiasts, creative professionals, and anyone curious about the intersection of art and artificial intelligence, "AI Foundations of Generative AI" offers a unique lens through which to view the future of creativity and technology. Whether you're a tech-savvy reader or new to the world of AI, this book promises to enlighten and inspire with its vision of a world where creativity knows no bounds. Embark on a Journey of Discovery: Prepare to be both enlightened and inspired as you explore the limitless possibilities of Generative AI. "AI Foundations of Generative AI" is your ticket to understanding and participating in the future of creative technology.
Foundations Of Artificial Intelligence
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Author : David Kirsh
language : en
Publisher: MIT Press
Release Date : 1992
Foundations Of Artificial Intelligence written by David Kirsh and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Computers categories.
In the 11 contributions, theorists historically associated with each position identify the basic tenets of their position.Have the classical methods and ideas of AI outlived their usefulness? Foundations of Artificial Intelligence critically evaluates the fundamental assumptions underpinning the dominant approaches to AI. In the 11 contributions, theorists historically associated with each position identify the basic tenets of their position. They discuss the underlying principles, describe the natural types of problems and tasks in which their approach succeeds, explain where its power comes from, and what its scope and limits are. Theorists generally skeptical of these positions evaluate the effectiveness of the method or approach and explain why it works - to the extent they believe it does - and why it eventually fails.ContentsFoundations of AI: The Big Issues, D. Kirsh - Logic and Artificial Intelligence, N. J. Nilsson - Rigor Mortis: A Response to Nilsson's 'Logic and Artificial Intelligence, ' L. Birnbaum - Open Information Systems Semantics for Distributed Artificial Intelligence, C. Hewitt - Social Conceptions of Knowledge and Action: DAI Foundations and Open Systems Semantics, L. Gasser - Intelligence without Representation, R. A. Brooks - Today the Earwig, Tomorrow Man? D. Kirsh - On the Thresholds of Knowledge, D. B. Lenat, E. A. Feigenbaum - The Owl and the Electric Encyclopedia, B. C. Smith - A Preliminary Analysis of the Soar Architecture as a Basis for General Intelligence, P. S. Rosenbloom, J. E. Laird, A. Newell, R. McCarl - Approaches to the Study of Intelligence, D. A. Norman
Ai Foundations Of Artificial General Intelligence
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Author : Jon Adams
language : en
Publisher: Green Mountain Computing
Release Date :
Ai Foundations Of Artificial General Intelligence written by Jon Adams and has been published by Green Mountain Computing this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Dive into the pioneering realm of Artificial General Intelligence with Jon Adams'sAI Foundations of Artificial General Intelligence (AGI), the first installment of the enlightening Foundations Of series. This groundbreaking book serves as a comprehensive guide to the evolving field of AI, offering a deep dive into the quest for Artificial General Intelligence (AGI) – a frontier of technology aiming to create machines that rival human intelligence in their versatility and creativity. Structured in a reader-friendly format, this book covers an impressive array of topics: The Genesis of AI: Explore the origins and evolution of artificial intelligence, setting the stage for a journey towards AGI. Understanding Machine Learning: Get to grips with the core concepts and techniques that fuel the growth of AI. Neural Networks and Deep Learning: Delve into the architectures that mimic the human brain's functionality. Cognitive Architectures – A Blueprint for AGI: Understand the frameworks designed to support the development of AGI. Narrow AI vs General AI: Learn about the differences between AI for specific tasks and the envisioned AGI capable of human-like reasoning. Defining Human-Like Intelligence: Investigate what it means for a machine to possess intelligence indistinguishable from humans. Computer Science Meets Neuroscience: Discover the intersection between computational models and the complexities of the human brain. Challenges in Replicating Human Thought: Examine the hurdles in simulating human cognitive processes. Toward the Future of AGI: Speculate on the potential directions and implications of achieving AGI. AGI and Human Identity – Redefining the Species: Reflect on how AGI could transform our understanding of human identity. Preempting Skynet – Safeguarding Against AGI Risks: Address the ethical considerations and safety measures in the development of AGI. AI Foundations of AGI is meticulously crafted for both novices and seasoned enthusiasts of artificial intelligence. Adams simplifies complex concepts without sacrificing depth, making advanced topics in AI and AGI accessible to all. This book not only sheds light on the technical aspects of AI development but also encourages readers to ponder the philosophical implications of creating machines with human-like intelligence. Whether you're a student, professional, or simply curious about the future of AI, this book offers valuable insights into the ambitious goal of achieving AGI. Join Jon Adams on a captivating exploration of AI's potential to redefine our world, armed with the knowledge and foresight to navigate the challenges and opportunities that lie ahead.
Ai Basics And The Rgb Prompt Engineering Model
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Author : Phill Akinwale
language : en
Publisher: Praizion Media
Release Date : 2023-06-12
Ai Basics And The Rgb Prompt Engineering Model written by Phill Akinwale and has been published by Praizion Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-12 with categories.
Unlock the mysteries of Artificial Intelligence and master the foundations of the RGB Prompt Engineering Model with "AI Basics: A Practical Understanding of RGB Prompt Engineering"! This comprehensive guide is designed for AI enthusiasts, tech hobbyists, and professionals alike who want to delve deeper into the world of AI and understand the groundbreaking RGB Prompt Engineering Model. Each chapter carefully presents a structured pathway from AI's historical origins to the most advanced applications in today's technology landscape. The book navigates you through key AI concepts like Machine Learning, Natural Language Processing, and Computer Vision, setting a robust base for exploring the unique capabilities of the RGB Model. What sets this guide apart is its specific focus on the RGB Prompt Engineering Model, a state-of-the-art tool in AI that elevates machine understanding to new heights. With detailed explanations, real-world examples, and hands-on exercises, you will learn to effectively harness the power of this groundbreaking model. "AI Basics: A Practical Understanding of RGB Prompt Engineering" offers you the future of AI today. Let it be your companion in this fascinating journey towards understanding and applying AI in our daily lives. Prepare to step into the future, one prompt at a time!
Ai Unraveled Master Gpt 4 Gemini Generative Ai Llms Prompt Engineering A Simplified Guide For Everyday Users
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Author : Etienne Noumen
language : en
Publisher: Etienne Noumen
Release Date :
Ai Unraveled Master Gpt 4 Gemini Generative Ai Llms Prompt Engineering A Simplified Guide For Everyday Users written by Etienne Noumen and has been published by Etienne Noumen this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Dive into the revolutionary world of Artificial Intelligence with 'AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence'. This comprehensive guide is your portal to understanding AI's most intricate concepts and cutting-edge developments. Whether you're a curious beginner or an AI enthusiast, this book is tailored to unveil the complexities of AI in a simple, accessible manner. What's Inside: Fundamental AI Concepts: Journey through the basics of AI, machine learning, deep learning, and neural networks. AI in Action: Explore how AI is reshaping industries and society, diving into its applications in computer vision, natural language processing, and beyond. Ethical AI: Tackle critical issues like AI ethics and bias, understanding the moral implications of AI advancements. Industry Insights: Gain insights into how AI is revolutionizing industries and impacting our daily lives. The Future of AI: Forecast the exciting possibilities and challenges that lie ahead in the AI landscape. Special Focus on Generative AI & LLMs: Latest AI Trends: Stay updated with the latest in AI, including ChatGPT, Google Bard, GPT-4, Gemini, and more. Interactive Quizzes: Test your knowledge with engaging quizzes on Generative AI and Large Language Models (LLMs). Practical Guides: Master GPT-4 with a simplified guide, delve into advanced prompt engineering, and explore the nuances of temperature settings in AI. Real-World Applications: Learn how to leverage AI in various sectors, from healthcare to cybersecurity, and even explore its potential in areas like aging research and brain implants. For the AI Enthusiast: Prompt Engineering: Uncover secrets to crafting effective prompts for ChatGPT/Google Bard. AI Career Insights: Explore lucrative career paths in AI, including roles like AI Prompt Engineers. AI Investment Guide: Navigate the world of AI stocks and investment opportunities. Your Guide to Navigating AI: Do-It-Yourself Tutorials: From building custom ChatGPT applications to running LLMs locally, this book offers step-by-step guides. AI for Everyday Use: Learn how AI can assist in weight loss, social media, and more. 'AI Unraveled' is more than just a book; it's a resource for anyone looking to grasp the complexities of AI and its impact on our world. Get ready to embark on an enlightening journey into the realm of Artificial Intelligence!" More Topics Covered: Artificial Intelligence, Machine Learning, Deep Learning, NLP, AI Ethics, Robotics, Cognitive Computing, ChatGPT, OpenAI, Google Bard, Generative AI, LLMs, AI in Healthcare, AI Investments, and much more. GPT-4 vs Gemini: Pros and Cons Mastering GPT-4: Simplified Guide For everyday Users Advance Prompt Engineering Techniques: [Single Prompt Technique, Zero-Shot and Few-Shot, Zero-Shot and Few-Shot, Generated Knowledge Prompting, EmotionPrompt, Chain of Density (CoD), Chain of Thought (CoT), Validation of LLMs Responses, Chain of Verification (CoVe), Agents - The Frontier of Prompt Engineering, Prompt Chaining vs Agents, Tree of Thought (ToT), ReAct (Reasoning + Act), ReWOO (Reasoning WithOut Observation), Reflexion and Self-Reflection, Guardrails, RAIL (Reliable AI Markup Language), Guardrails AI, NeMo Guardrails] Understanding Temperature in GPT-4: A Guide to AI Probability and Creativity Retrieval-Augmented Generation (RAG) model in the context of Large Language Models (LLMs) like GPT-4 Prompt Ideas for ChatGPT/Google Bard How to Run ChatGPT-like LLMs Locally on Your Computer in 3 Easy Steps ChatGPT Custom Instructions Settings for Power Users Examples of bad and good ChatGPT prompts Top 5 Beginner Mistakes in Prompt Engineering Use ChatGPT like a PRO Prompt template for learning any skill Prompt Engineering for ChatGPT The Future of LLMs in Search What is Explainable AI? Which industries are meant for XAI? ChatGPT Best Tips, Cheat Sheet LLMs Utilize Vector DB for Data Storage The Limitation Technique in Prompt Responses Use ChatGPT to learn new subjects Prompts to proofread anything Topics: Artificial Intelligence Education Machine Learning Deep Learning Reinforcement Learning Neural networks Data science AI ethics Deepmind Robotics Natural language processing Intelligent agents Cognitive computing AI Apps AI impact AI Tech ChatGPT Open AI Safe AI Generative AI Discriminative AI Sam Altman Google Bard NVDIA Large Language Models (LLMs) PALM GPT Explainable AI GPUs AI Stocks AI Podcast Q* AI Certification AI Quiz RAG How to access the AI Unraveled print and audiobook: Amazon print book: https://amzn.to/3xvCfWR Audible at Amazon : https://www.audible.com/pd/B0BXMJ7FK5/?source_code=AUDFPWS0223189MWT-BK-ACX0-343437&ref=acx_bty_BK_ACX0_343437_rh_us (Use Promo code: 37YT3B5UYUYZW) Audiobook at Google: https://play.google.com/store/audiobooks/details?id=AQAAAEAihFTEZM Amazon eBook: https://amzn.to/3KbshkO Google eBook: https://play.google.com/store/books/details?id=oySuEAAAQBAJ Apple eBook: http://books.apple.com/us/book/id6445730691
Ai Foundations Of Large Language Models
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Author : Jon Adams
language : en
Publisher: Green Mountain Computing
Release Date :
Ai Foundations Of Large Language Models written by Jon Adams and has been published by Green Mountain Computing this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Dive into the fascinating world of artificial intelligence with Jon Adams' groundbreaking book, AI Foundations of Large Language Models. This comprehensive guide serves as a beacon for both beginners and enthusiasts eager to understand the intricate mechanisms behind the digital forces shaping our future. With Adams' expert narration, readers are invited to explore the evolution of language models that have transformed mere strings of code into entities capable of human-like text generation. Key Features: In-depth Exploration: From the initial emergence to the sophisticated development of Large Language Models (LLMs), this book covers it all. Technical Insights: Understand the foundational technology, including neural networks, transformers, and attention mechanisms, that powers LLMs. Practical Applications: Discover how LLMs are being utilized in industry and research, paving the way for future innovations. Ethical Considerations: Engage with the critical discussions surrounding the ethics of LLM development and deployment. Chapters Include: The Emergence of Language Models: An introduction to the genesis of LLMs and their significance. Foundations of Neural Networks: Delve into the neural underpinnings that make it all possible. Transformers and Attention Mechanisms: Unpack the mechanisms that enhance LLM efficiency and accuracy. Training Large Language Models: A guide through the complexities of LLM training processes. Understanding LLMs Text Generation: Insights into how LLMs generate text that rivals human writing. Natural Language Understanding: Explore the advancements in LLMs' comprehension capabilities. Ethics and LLMs: A critical look at the ethical landscape of LLM technology. LLMs in Industry and Research: Real-world applications and the impact of LLMs across various sectors. The Future of Large Language Models: Speculations and predictions on the trajectory of LLM advancements. Whether you're a student, professional, or simply an AI enthusiast, AI Foundations of Large Language Models by Jon Adams offers a riveting narrative filled with insights and foresights. Equip yourself with the knowledge to navigate the burgeoning world of LLMs and appreciate their potential to redefine our technological landscape. Join us on this enlightening journey through the annals of artificial intelligence, where the future of digital communication and creativity awaits.
Foundations Of Artificial Intelligence
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Author :
language : en
Publisher:
Release Date : 1991
Foundations Of Artificial Intelligence written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with categories.
Theoretical Foundations Of Artificial General Intelligence
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Author : Pei Wang
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-08-31
Theoretical Foundations Of Artificial General Intelligence written by Pei Wang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-31 with Computers categories.
This book is a collection of writings by active researchers in the field of Artificial General Intelligence, on topics of central importance in the field. Each chapter focuses on one theoretical problem, proposes a novel solution, and is written in sufficiently non-technical language to be understandable by advanced undergraduates or scientists in allied fields. This book is the very first collection in the field of Artificial General Intelligence (AGI) focusing on theoretical, conceptual, and philosophical issues in the creation of thinking machines. All the authors are researchers actively developing AGI projects, thus distinguishing the book from much of the theoretical cognitive science and AI literature, which is generally quite divorced from practical AGI system building issues. And the discussions are presented in a way that makes the problems and proposed solutions understandable to a wide readership of non-specialists, providing a distinction from the journal and conference-proceedings literature. The book will benefit AGI researchers and students by giving them a solid orientation in the conceptual foundations of the field (which is not currently available anywhere); and it would benefit researchers in allied fields by giving them a high-level view of the current state of thinking in the AGI field. Furthermore, by addressing key topics in the field in a coherent way, the collection as a whole may play an important role in guiding future research in both theoretical and practical AGI, and in linking AGI research with work in allied disciplines
Foundation Models For Natural Language Processing
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Author : Gerhard Paaß
language : en
Publisher: Springer Nature
Release Date : 2023-05-23
Foundation Models For Natural Language Processing written by Gerhard Paaß and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-23 with Computers categories.
This open access book provides a comprehensive overview of the state of the art in research and applications of Foundation Models and is intended for readers familiar with basic Natural Language Processing (NLP) concepts. Over the recent years, a revolutionary new paradigm has been developed for training models for NLP. These models are first pre-trained on large collections of text documents to acquire general syntactic knowledge and semantic information. Then, they are fine-tuned for specific tasks, which they can often solve with superhuman accuracy. When the models are large enough, they can be instructed by prompts to solve new tasks without any fine-tuning. Moreover, they can be applied to a wide range of different media and problem domains, ranging from image and video processing to robot control learning. Because they provide a blueprint for solving many tasks in artificial intelligence, they have been called Foundation Models. After a brief introduction to basic NLP models the main pre-trained language models BERT, GPT and sequence-to-sequence transformer are described, as well as the concepts of self-attention and context-sensitive embedding. Then, different approaches to improving these models are discussed, such as expanding the pre-training criteria, increasing the length of input texts, or including extra knowledge. An overview of the best-performing models for about twenty application areas is then presented, e.g., question answering, translation, story generation, dialog systems, generating images from text, etc. For each application area, the strengths and weaknesses of current models are discussed, and an outlook on further developments is given. In addition, links are provided to freely available program code. A concluding chapter summarizes the economic opportunities, mitigation of risks, and potential developments of AI.