Decoding Gpt


Decoding Gpt
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Decoding Gpt


Decoding Gpt
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Author : Devesh Rajadhyax
language : en
Publisher: Storymirror Infotech Pvt. Limited
Release Date : 2024-02-03

Decoding Gpt written by Devesh Rajadhyax and has been published by Storymirror Infotech Pvt. Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-03 with Computers categories.


About the Book: In a world where Large Language Models (LLMs) like ChatGPT have ignited imaginations, individuals from all walks of life are eager to embrace the transformative potential of Generative AI. Whether you're a tech professional, decision-maker, an entrepreneur or a budding student, the pursuit of understanding this new paradigm is a shared endeavor. It's within this landscape that 'Decoding GPT: an Intuitive Introduction to LLMs' emerges as your essential guide. Now, as the author of "Decoding GPT," Devesh Rajadhyax invites you to join him on a journey into the heart of LLMs. This book starts with the fundamentals of machine learning and neural networks and then dives into the inner workings of Large Language Models, all while keeping complex math and programming at bay. Instead, it employs clear diagrams and relatable examples to foster a deep understanding. If your aim is to thrive in the world of generative AI, 'Decoding GPT' is your passport to a brighter future in this exciting field. About the Author: Devesh Rajadhyax is an entrepreneur and visionary communicator, whose life has been an unfolding journey of scientific curiosity and technological innovation. With a scientific curiosity that has defined him since childhood, Devesh has immersed himself in the ever-evolving realm of technology, leaving an indelible mark on the AI landscape through his brainchild, Cere Labs. Devesh's journey is marked by an unwavering passion for technology that goes beyond the ordinary. He's not just a leader; he's a visionary who shapes the very course of innovation at Cere Labs. Beyond the boardroom, Devesh is a gifted writer, known for his insightful science and technology blogs and articles. His blog, "Yours Sciencely," served as a welcoming space for those interested in delving into intricate scientific ideas presented in clear and eloquent language. His contributions to publications like "Towards Data Science" have been celebrated, demonstrating his prowess in translating complex ideas for a wider audience. Devesh's influence extends to the academic world, where he has served on the Board of Studies for prestigious engineering colleges and universities. His warm rapport with professors and students in the technical realm, particularly computer engineering, has made him a respected figure in industry-academia interaction.



Decoding Gpt S Hidden Rationality Of Cooperation


Decoding Gpt S Hidden Rationality Of Cooperation
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Author : Kevin Bauer
language : en
Publisher:
Release Date : 2023

Decoding Gpt S Hidden Rationality Of Cooperation written by Kevin Bauer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.


In current discussions on large language models (LLMs) such as GPT, understanding their ability to emulate facets of human intelligence stands central. Using behavioral economic paradigms and structural models, we investigate GPT's cooperativeness in human interactions and assess its rational goal-oriented behavior. We discover that GPT cooperates more than humans and has overly optimistic expectations about human cooperation. Intriguingly, additional analyses reveal that GPT's behavior isn't random; it displays a level of goal-oriented rationality surpassing human counterparts. Our findings suggest that GPT hyper-rationally aims to maximize social welfare, coupled with a strive of self-preservation. Methodologically, our esearch highlights how structural models, typically employed to decipher human behavior, can illuminate the rationality and goal-orientation of LLMs. This opens a compelling path for future research into the intricate rationality of sophisticated, yet enigmatic artificial agents.



Modern Generative Ai With Chatgpt And Openai Models


Modern Generative Ai With Chatgpt And Openai Models
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Author : Valentina Alto
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-05-26

Modern Generative Ai With Chatgpt And Openai Models written by Valentina Alto and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-26 with Computers categories.


Harness the power of AI with innovative, real-world applications, and unprecedented productivity boosts, powered by the latest advancements in AI technology like ChatGPT and OpenAI Purchase of the print or Kindle book includes a free PDF eBook Key Features Explore the theory behind generative AI models and the road to GPT3 and GPT4 Become familiar with ChatGPT's applications to boost everyday productivity Learn to embed OpenAI models into applications using lightweight frameworks like LangChain Book Description Generative AI models and AI language models are becoming increasingly popular due to their unparalleled capabilities. This book will provide you with insights into the inner workings of the LLMs and guide you through creating your own language models. You'll start with an introduction to the field of generative AI, helping you understand how these models are trained to generate new data. Next, you'll explore use cases where ChatGPT can boost productivity and enhance creativity. You'll learn how to get the best from your ChatGPT interactions by improving your prompt design and leveraging zero, one, and few-shots learning capabilities. The use cases are divided into clusters of marketers, researchers, and developers, which will help you apply what you learn in this book to your own challenges faster. You'll also discover enterprise-level scenarios that leverage OpenAI models' APIs available on Azure infrastructure; both generative models like GPT-3 and embedding models like Ada. For each scenario, you'll find an end-to-end implementation with Python, using Streamlit as the frontend and the LangChain SDK to facilitate models' integration into your applications. By the end of this book, you'll be well equipped to use the generative AI field and start using ChatGPT and OpenAI models' APIs in your own projects. What you will learn Understand generative AI concepts from basic to intermediate level Focus on the GPT architecture for generative AI models Maximize ChatGPT's value with an effective prompt design Explore applications and use cases of ChatGPT Use OpenAI models and features via API calls Build and deploy generative AI systems with Python Leverage Azure infrastructure for enterprise-level use cases Ensure responsible AI and ethics in generative AI systems Who this book is for This book is for individuals interested in boosting their daily productivity; businesspersons looking to dive deeper into real-world applications to empower their organizations; data scientists and developers trying to identify ways to boost ML models and code; marketers and researchers seeking to leverage use cases in their domain – all by using Chat GPT and OpenAI Models. A basic understanding of Python is required; however, the book provides theoretical descriptions alongside sections with code so that the reader can learn the concrete use case application without running the scripts.



Decoding Cultural Heritage


Decoding Cultural Heritage
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Author : Fernando Moral-Andrés
language : en
Publisher: Springer Nature
Release Date :

Decoding Cultural Heritage written by Fernando Moral-Andrés and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.




Beyond Ai


Beyond Ai
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Author : Ken Huang
language : en
Publisher: Springer Nature
Release Date : 2024-01-27

Beyond Ai written by Ken Huang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-27 with Business & Economics categories.


This book explores the transformative potential of ChatGPT, Web3, and their impact on productivity and various industries. It delves into Generative AI (GenAI) and its representative platform ChatGPT, their synergy with Web3, and how they can revolutionize business operations. It covers the potential impact surpassing prior industrial revolutions. After providing an overview of GenAI, ChatGPT, and Web3, it investigates business applications in various industries and areas, such as product management, finance, real estate, gaming, and government, highlighting value creation and operational revolution through their integration. It also explores their impact on content generation, customer service, personalization, and data analysis and examines how the technologies can enhance content quality, customer experiences, sales, revenue, and resource efficiency. Moreover, it addresses security, privacy, and ethics concerns, emphasizing the responsible implementation of ChatGPT and Web3. Written by experts in this field, this book is aimed at business leaders, entrepreneurs, students, investors, and professionals who are seeking insights into ChatGPT, ChatGPT Plug-in, GPT-based autonomous agents, and the integration of Gen AI and Web3 in business applications.



Pattern Recognition And Image Analysis


Pattern Recognition And Image Analysis
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Author : Armando J. Pinho
language : en
Publisher: Springer Nature
Release Date : 2022-04-25

Pattern Recognition And Image Analysis written by Armando J. Pinho and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-25 with Computers categories.


This book constitutes the refereed proceedings of the 10th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2022, held in Aveiro, Portugal, in May 2022. The 54 papers accepted for these proceedings were carefully reviewed and selected from 72 submissions. They deal with document analysis; medical image processing; biometrics; pattern recognition and machine learning; computer vision; and other applications.



Machine Learning Q And Ai


Machine Learning Q And Ai
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Author : Sebastian Raschka
language : en
Publisher: No Starch Press
Release Date : 2024-04-16

Machine Learning Q And Ai written by Sebastian Raschka and has been published by No Starch Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-16 with Computers categories.


Learn the answers to 30 cutting-edge questions in machine learning and AI and level up your expertise in the field. If you’re ready to venture beyond introductory concepts and dig deeper into machine learning, deep learning, and AI, the question-and-answer format of Machine Learning Q and AI will make things fast and easy for you, without a lot of mucking about. Born out of questions often fielded by author Sebastian Raschka, the direct, no-nonsense approach of this book makes advanced topics more accessible and genuinely engaging. Each brief, self-contained chapter journeys through a fundamental question in AI, unraveling it with clear explanations, diagrams, and hands-on exercises. WHAT'S INSIDE: FOCUSED CHAPTERS: Key questions in AI are answered concisely, and complex ideas are broken down into easily digestible parts. WIDE RANGE OF TOPICS: Raschka covers topics ranging from neural network architectures and model evaluation to computer vision and natural language processing. PRACTICAL APPLICATIONS: Learn techniques for enhancing model performance, fine-tuning large models, and more. You’ll also explore how to: • Manage the various sources of randomness in neural network training • Differentiate between encoder and decoder architectures in large language models • Reduce overfitting through data and model modifications • Construct confidence intervals for classifiers and optimize models with limited labeled data • Choose between different multi-GPU training paradigms and different types of generative AI models • Understand performance metrics for natural language processing • Make sense of the inductive biases in vision transformers If you’ve been on the hunt for the perfect resource to elevate your understanding of machine learning, Machine Learning Q and AI will make it easy for you to painlessly advance your knowledge beyond the basics.



Natural Language Processing With Transformers


Natural Language Processing With Transformers
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Author : Lewis Tunstall
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2022-01-26

Natural Language Processing With Transformers written by Lewis Tunstall and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-26 with Computers categories.


Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library. Transformers have been used to write realistic news stories, improve Google Search queries, and even create chatbots that tell corny jokes. In this guide, authors Lewis Tunstall, Leandro von Werra, and Thomas Wolf, among the creators of Hugging Face Transformers, use a hands-on approach to teach you how transformers work and how to integrate them in your applications. You'll quickly learn a variety of tasks they can help you solve. Build, debug, and optimize transformer models for core NLP tasks, such as text classification, named entity recognition, and question answering Learn how transformers can be used for cross-lingual transfer learning Apply transformers in real-world scenarios where labeled data is scarce Make transformer models efficient for deployment using techniques such as distillation, pruning, and quantization Train transformers from scratch and learn how to scale to multiple GPUs and distributed environments



New Advances In Translation Technology


New Advances In Translation Technology
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Author : Yuhong Peng
language : en
Publisher: Springer Nature
Release Date :

New Advances In Translation Technology written by Yuhong Peng and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.




Progress In Cryptology Mycrypt 2005


Progress In Cryptology Mycrypt 2005
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Author : Ed Dawson
language : en
Publisher: Springer
Release Date : 2005-09-27

Progress In Cryptology Mycrypt 2005 written by Ed Dawson and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-09-27 with Computers categories.


Mycrypt 2005 was held in Kuala Lumpur, Malaysia during September 28 –30 2005, ...