Download or read book GPT Demystified written by Aron Ingvar Baardsen and published by Aron Ingvar Baardsen. This book was released on 2024-02-27 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "GPT Demystified: A Beginner's Manual for Engaging with AI Chat" is your comprehensive handbook designed to unravel the mysteries of GPT (Generative Pre-trained Transformer) models and empower you to confidently engage in conversations with artificial intelligence. This beginner's manual is tailored to individuals who are curious about AI-powered chat but may feel intimidated by its complexities. Within the pages of this manual, you'll embark on a journey to understand the inner workings of GPT models. Through clear and concise explanations, complex AI concepts are demystified, allowing even those with limited technical knowledge to grasp the fundamentals. From the basics of natural language processing to the intricacies of neural networks, you'll gain a solid understanding of the technology behind GPT. As you delve deeper into "GPT Demystified," you'll learn practical strategies for effectively interacting with AI in chat settings. From crafting engaging prompts to interpreting AI-generated responses, each chapter provides valuable insights and actionable tips to enhance your conversational skills. Whether you're communicating with AI through online chatbots, messaging apps, or virtual assistants, this manual equips you with the knowledge and confidence to navigate different chat interfaces with ease. In addition to technical instruction, "GPT Demystified" also explores the ethical considerations and implications of AI chat interactions. By addressing topics such as data privacy, bias, and responsible AI usage, this manual encourages readers to engage with AI in a thoughtful and conscientious manner. By understanding the ethical dimensions of AI chat, you'll be better equipped to navigate the complexities of this technology responsibly. Ultimately, "GPT Demystified" serves as your roadmap to unlock the potential of AI-powered chat. Whether you're a curious individual eager to explore the capabilities of GPT or a professional seeking to leverage AI in your work, this beginner's manual provides the guidance and resources you need to embark on your journey with confidence. With its accessible language, practical examples, and ethical insights, "GPT Demystified" is your essential companion for engaging with AI chat.

Download or read book Demystifying Large Language Models written by James Chen and published by James Chen. This book was released on 2024-04-25 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a comprehensive guide aiming to demystify the world of transformers -- the architecture that powers Large Language Models (LLMs) like GPT and BERT. From PyTorch basics and mathematical foundations to implementing a Transformer from scratch, you'll gain a deep understanding of the inner workings of these models. That's just the beginning. Get ready to dive into the realm of pre-training your own Transformer from scratch, unlocking the power of transfer learning to fine-tune LLMs for your specific use cases, exploring advanced techniques like PEFT (Prompting for Efficient Fine-Tuning) and LoRA (Low-Rank Adaptation) for fine-tuning, as well as RLHF (Reinforcement Learning with Human Feedback) for detoxifying LLMs to make them aligned with human values and ethical norms. Step into the deployment of LLMs, delivering these state-of-the-art language models into the real-world, whether integrating them into cloud platforms or optimizing them for edge devices, this section ensures you're equipped with the know-how to bring your AI solutions to life. Whether you're a seasoned AI practitioner, a data scientist, or a curious developer eager to advance your knowledge on the powerful LLMs, this book is your ultimate guide to mastering these cutting-edge models. By translating convoluted concepts into understandable explanations and offering a practical hands-on approach, this treasure trove of knowledge is invaluable to both aspiring beginners and seasoned professionals. Table of Contents 1. INTRODUCTION 1.1 What is AI, ML, DL, Generative AI and Large Language Model 1.2 Lifecycle of Large Language Models 1.3 Whom This Book Is For 1.4 How This Book Is Organized 1.5 Source Code and Resources 2. PYTORCH BASICS AND MATH FUNDAMENTALS 2.1 Tensor and Vector 2.2 Tensor and Matrix 2.3 Dot Product 2.4 Softmax 2.5 Cross Entropy 2.6 GPU Support 2.7 Linear Transformation 2.8 Embedding 2.9 Neural Network 2.10 Bigram and N-gram Models 2.11 Greedy, Random Sampling and Beam 2.12 Rank of Matrices 2.13 Singular Value Decomposition (SVD) 2.14 Conclusion 3. TRANSFORMER 3.1 Dataset and Tokenization 3.2 Embedding 3.3 Positional Encoding 3.4 Layer Normalization 3.5 Feed Forward 3.6 Scaled Dot-Product Attention 3.7 Mask 3.8 Multi-Head Attention 3.9 Encoder Layer and Encoder 3.10 Decoder Layer and Decoder 3.11 Transformer 3.12 Training 3.13 Inference 3.14 Conclusion 4. PRE-TRAINING 4.1 Machine Translation 4.2 Dataset and Tokenization 4.3 Load Data in Batch 4.4 Pre-Training nn.Transformer Model 4.5 Inference 4.6 Popular Large Language Models 4.7 Computational Resources 4.8 Prompt Engineering and In-context Learning (ICL) 4.9 Prompt Engineering on FLAN-T5 4.10 Pipelines 4.11 Conclusion 5. FINE-TUNING 5.1 Fine-Tuning 5.2 Parameter Efficient Fine-tuning (PEFT) 5.3 Low-Rank Adaptation (LoRA) 5.4 Adapter 5.5 Prompt Tuning 5.6 Evaluation 5.7 Reinforcement Learning 5.8 Reinforcement Learning Human Feedback (RLHF) 5.9 Implementation of RLHF 5.10 Conclusion 6. DEPLOYMENT OF LLMS 6.1 Challenges and Considerations 6.2 Pre-Deployment Optimization 6.3 Security and Privacy 6.4 Deployment Architectures 6.5 Scalability and Load Balancing 6.6 Compliance and Ethics Review 6.7 Model Versioning and Updates 6.8 LLM-Powered Applications 6.9 Vector Database 6.10 LangChain 6.11 Chatbot, Example of LLM-Powered Application 6.12 WebUI, Example of LLM-Power Application 6.13 Future Trends and Challenges 6.14 Conclusion REFERENCES ABOUT THE AUTHOR

Download or read book Demystifying Artificial Intelligence written by Emmanuel Gillain and published by Walter de Gruyter GmbH & Co KG. This book was released on 2024-08-19 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended for business professionals that want to understand the fundamental concepts of Artificial Intelligence, their applications and limitations. Built as a collaborative effort between academia and the industry, this book bridges the gap between theory and business application, demystifying AI through fundamental concepts and industry examples. The reader will find here an overview of the different AI techniques to search, plan, reason, learn, adapt, understand and interact. The book covers the two traditional paradigms in AI: the statistical and data-driven AI systems, which learn and perform by ingesting millions of data points into machine learning algorithms, and the consciously modelled AI systems, known as symbolic AI systems, which use explicit symbols to represent the world and make conclusions. Rather than opposing those two paradigms, the book will also show how those different fields can complement each other. All royalties go to a charity. "Demystifying AI reveals its true power: not as a mysterious force, but as a tool for human progress, accessible to all who seek to understand it." Dr. Barak Chizi, Chief Data & Analytics Officer, KBC Group

Download or read book Portfolio and Programme Management Demystified written by Geoff Reiss and published by Routledge. This book was released on 2002-12-24 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the perfect companion to Geoff Reiss's Project Management Demystified and presents the techniques of multi-project management in a lively, approachable manner. It covers budgets, cost control, planning problems and matrix management formulae. Drawing on a wide range of case histories and lively examples, it tackles organisational issues and the multi-project conflicts that often arise.

Download or read book Cloud Data Architectures Demystified written by Ashok Boddeda and published by BPB Publications. This book was released on 2023-09-27 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn using Cloud data technologies for improving data analytics and decision-making capabilities for your organization KEY FEATURES ● Get familiar with the fundamentals of data architecture and Cloud computing. ● Design and deploy enterprise data architectures on the Cloud. ● Learn how to leverage AI/ML to gain insights from data. DESCRIPTION Cloud data architectures are a valuable tool for organizations that want to use data to make better decisions. By understanding the different components of Cloud data architectures and the benefits they offer, organizations can select the right architecture for their needs. This book is a holistic guide for using Cloud data technologies to ingest, transform, and analyze data. It covers the entire data lifecycle, from collecting data to transforming it into actionable insights. The readers will get a comprehensive overview of Cloud data technologies and AI/ML algorithms. The readers will learn how to use these technologies and algorithms to improve decision-making, optimize operations, and identify new opportunities. By the end of the book, you will have a comprehensive understanding of loud data architectures and the confidence to implement effective solutions that drive business success. WHAT YOU WILL LEARN ● Learn the fundamental principles of data architecture. ● Understand the working of different cloud ecosystems such as AWS, Azure & GCP. ● Explore different Snowflake data services. ● Learn how to implement data governance policies and procedures. ● Use artificial intelligence (AI) and machine learning (ML) to gain insights from data. WHO THIS BOOK IS FOR This book is for executives, IT professionals, and data enthusiasts who want to learn more about Cloud data architectures. It does not require any prior experience, but a basic understanding of data concepts and technology landscapes will be helpful. TABLE OF CONTENTS 1. Data Architectures and Patterns 2. Enterprise Data Architectures 3. Cloud Fundamentals 4. Azure Data Eco-system 5. AWS Data Services 6. Google Data Services 7. Snowflake Data Eco-system 8. Data Governance 9. Data Intelligence: AI-ML Modeling and Services

Download or read book Chat Gpt written by Mahaboob basha kattubadi and published by Mahaboob basha kattubadi . This book was released on 2024-03-15 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt: This ebook provides a comprehensive guide to mastering ChatGPT and leveraging its capabilities for various applications in Conversational AI. Each chapter covers essential concepts, practical techniques, and real-world examples to help you navigate the complexities of ChatGPT and harness its potential effectively. Whether you're a beginner exploring the fundamentals or an experienced practitioner seeking advanced insights, this ebook serves as a valuable resource for enhancing your understanding and proficiency in Conversational AI with ChatGPT.

Download or read book Demystifying the Dark Side of AI in Business written by Dadwal, Sumesh and published by IGI Global. This book was released on 2024-03-11 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: Demystifying the Dark Side of AI in Business delves into the often-overlooked negative aspects of Artificial Intelligence (AI) and its implications for organizations. In an era where AI is rapidly transforming industries and work environments, it is crucial to understand the potential risks and challenges associated with its implementation. Drawing from a wide range of global perspectives, this book brings together articles from leading researchers, academicians, and professionals across disciplines to shed light on the dark side of AI. Through academic rigor and meticulous analysis, the book addresses key topics such as unethical AI implementation, safety risks, negative social impacts, unintended consequences, and legal concerns surrounding AI adoption. This book covers crucial topics such as governance, ethical concerns, safety risks, social impacts, and future perspectives. By illuminating the negative implications of AI, this book paves the way for responsible and informed AI adoption, ensuring a balance between the potential benefits and the inherent risks associated with this transformative technology. Targeting researchers, academicians, professionals, and students with a wide range of interests, this book offers a rich understanding of the theoretical and practical implications of AI. It serves as a valuable resource for management disciplines like human resource management, marketing, financial management, and operations management, enabling readers to grasp the nuances of ai in different organizational contexts.

Download or read book ChatGPT Explained written by Callisto Momesso and published by T Turner. This book was released on with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book "ChatGPT Explained" by Callisto Momesso provides a comprehensive introduction of the revolutionary technology of ChatGPT. The book is written for an audience that has limited knowledge of technology and aims to demystify the complex concept of ChatGPT in a simple and engaging manner. At its core, ChatGPT is a cutting-edge artificial intelligence language model developed by OpenAI that has the ability to understand and respond to natural language text in an incredibly human-like way. The book explores the ways in which this technology is transforming industries such as customer service, content creation, and even entertainment. One of the key takeaways from the book is the power of ChatGPT to automate mundane and repetitive tasks, freeing up time and resources for human workers to focus on more creative and strategic initiatives. The book also delves into the ethical implications of the technology, examining the potential for biases in data and the need for responsible AI development practices. The Future of ChatGPT is a central theme throughout the book, and Momesso paints a vivid picture of the potential for the technology to shape the way we interact with each other and with machines. The author also highlights the challenges that must be addressed in order to ensure that ChatGPT is used in a way that is both beneficial and ethical. "ChatGPT Explained" provides a quick and engaging look at the world of ChatGPT, offering insights into its applications, benefits, and challenges. The book is a must-read for anyone who wants to understand the technology behind the AI revolution and how it is shaping our world. Have you ever considered the sheer potential of language models in shaping the way we interact with technology? Enter ChatGPT, a language model developed by OpenAI that has the power to change the game. ChatGPT is based on deep learning algorithms that allow it to generate text based on a given prompt or context. It has the ability to understand and respond to natural language input, making it a valuable tool for a wide range of industries and applications. Let's take customer service, for example. Imagine a world where chatbots powered by ChatGPT are able to understand the emotions and intent behind a customer's request, and respond in a manner that is both efficient and empathetic. This would not only improve the customer experience, but also free up human customer service representatives to handle more complex issues. Or think about the education sector. ChatGPT has the potential to personalize the learning experience for students, generating customized lesson plans and providing real-time feedback and guidance based on their unique learning style and performance. And it doesn't stop there. ChatGPT can be used in healthcare to support healthcare professionals, in journalism to summarize complex information, and even in the entertainment industry to generate new ideas for movies, TV shows, and video games. The impact of ChatGPT on our daily lives is profound, and as the technology continues to advance, the possibilities are endless. So, what do we have here? A language model that has the potential to revolutionize the way we interact with technology. A tool that has the power to improve customer experiences, personalize education, support healthcare professionals, and spark new ideas in entertainment. ChatGPT is not just a tool, it's a catalyst for change. And, like all game-changing technologies, its impact will only continue to grow as more people adopt it and find new and innovative ways to use it. ChatGPT is a technology that demands our attention. Whether you are a business owner, a teacher, a healthcare professional, or simply someone interested in the latest advancements in AI, ChatGPT is worth considering. The future is bright, and with ChatGPT, it is also full of endless possibilities.

Download or read book Demystifying Deep Learning written by Douglas J. Santry and published by John Wiley & Sons. This book was released on 2023-12-06 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: DEMYSTIFYING DEEP LEARNING Discover how to train Deep Learning models by learning how to build real Deep Learning software libraries and verification software! The study of Deep Learning and Artificial Neural Networks (ANN) is a significant subfield of artificial intelligence (AI) that can be found within numerous fields: medicine, law, financial services, and science, for example. Just as the robot revolution threatened blue-collar jobs in the 1970s, so now the AI revolution promises a new era of productivity for white collar jobs. Important tasks have begun being taken over by ANNs, from disease detection and prevention, to reading and supporting legal contracts, to understanding experimental data, model protein folding, and hurricane modeling. AI is everywhere—on the news, in think tanks, and occupies government policy makers all over the world —and ANNs often provide the backbone for AI. Relying on an informal and succinct approach, Demystifying Deep Learning is a useful tool to learn the necessary steps to implement ANN algorithms by using both a software library applying neural network training and verification software. The volume offers explanations of how real ANNs work, and includes 6 practical examples that demonstrate in real code how to build ANNs and the datasets they need in their implementation, available in open-source to ensure practical usage. This approachable book follows ANN techniques that are used every day as they adapt to natural language processing, image recognition, problem solving, and generative applications. This volume is an important introduction to the field, equipping the reader for more advanced study. Demystifying Deep Learning readers will also find: A volume that emphasizes the importance of classification Discussion of why ANN libraries, such as Tensor Flow and Pytorch, are written in C++ rather than Python Each chapter concludes with a “Projects” page to promote students experimenting with real code A supporting library of software to accompany the book at https://github.com/nom-de-guerre/RANT An approachable explanation of how generative AI, such as generative adversarial networks (GAN), really work. An accessible motivation and elucidation of how transformers, the basis of large language models (LLM) such as ChatGPT, work. Demystifying Deep Learning is ideal for engineers and professionals that need to learn and understand ANNs in their work. It is also a helpful text for advanced undergraduates to get a solid grounding on the topic.

Download or read book Breaking the Language Barrier Demystifying Language Models with OpenAI written by Rayan Wali and published by Rayan Wali. This book was released on 2023-03-08 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: Breaking the Language Barrier: Demystifying Language Models with OpenAI is an informative guide that covers practical NLP use cases, from machine translation to vector search, in a clear and accessible manner. In addition to providing insights into the latest technology that powers ChatGPT and other OpenAI language models, including GPT-3 and DALL-E, this book also showcases how to use OpenAI on the cloud, specifically on Microsoft Azure, to create scalable and efficient solutions.

Download or read book Developing Apps with GPT 4 and ChatGPT written by Olivier Caelen and published by "O'Reilly Media, Inc.". This book was released on 2023-08-29 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: This minibook is a comprehensive guide for Python developers who want to learn how to build applications with large language models. Authors Olivier Caelen and Marie-Alice Blete cover the main features and benefits of GPT-4 and ChatGPT and explain how they work. You'll also get a step-by-step guide for developing applications using the GPT-4 and ChatGPT Python library, including text generation, Q&A, and content summarization tools. Written in clear and concise language, Developing Apps with GPT-4 and ChatGPT includes easy-to-follow examples to help you understand and apply the concepts to your projects. Python code examples are available in a GitHub repository, and the book includes a glossary of key terms. Ready to harness the power of large language models in your applications? This book is a must. You'll learn: The fundamentals and benefits of ChatGPT and GPT-4 and how they work How to integrate these models into Python-based applications for NLP tasks How to develop applications using GPT-4 or ChatGPT APIs in Python for text generation, question answering, and content summarization, among other tasks Advanced GPT topics including prompt engineering, fine-tuning models for specific tasks, plug-ins, LangChain, and more

Download or read book AI Unraveled Master GPT x Gemini Generative AI LLMs Prompt Engineering A simplified Guide For Everyday Users written by Etienne Noumen and published by Etienne Noumen. This book was released on with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book How to Create Viral Content with ChatGPT written by Martín Arellano and published by Martín Arellano. This book was released on with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Operating Systems DeMYSTiFieD written by Ann McIver McHoes and published by McGraw Hill Professional. This book was released on 2011-11-01 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn what happens behind the scenes of operating systems Find out how operating systems work, including Windows, Mac OS X, and Linux. Operating Systems Demystified describes the features common to most of today's popular operating systems and how they handle complex tasks. Written in a step-by-step format, this practical guide begins with an overview of what operating systems are and how they are designed. The book then offers in-depth coverage of the boot process; CPU management; deadlocks; memory, disk, and file management; network operating systems; and the essentials of system security. Detailed examples and concise explanations make it easy to understand even the technical material, and end-of-chapter quizzes and a final exam help reinforce key concepts. It's a no-brainer! You'll learn about: Fundamentals of operating system design Differences between menu- and command-driven user interfaces CPU scheduling and deadlocks Management of RAM and virtual memory Device management for hard drives, CDs, DVDs, and Blu-ray drives Networking basics, including wireless LANs and virtual private networks Key concepts of computer and data security Simple enough for a beginner, but challenging enough for an advanced student, Operating Systems Demystified helps you learn the essential elements of OS design and everyday use.

Download or read book ChatGPT Demystified written by Harish Pursnani and published by . This book was released on 2023-07-07 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive ChatGPT guide caters to both beginners and those familiar, and a diverse range of individuals such as entrepreneurs, homemakers, lawyers, doctors, students, teachers, artists, scientists, or the simply curious.

Download or read book Demystifying Artificial intelligence written by Prashant Kikani and published by BPB Publications. This book was released on 2021-01-05 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn AI & Machine Learning from the first principles. KEY FEATURESÊÊ _ Explore how different industries are using AI and ML for diverse use-cases. _ Learn core concepts of Data Science, Machine Learning, Deep Learning and NLP in an easy and intuitive manner. _ Cutting-edge coverage on use of ML for business products and services. _ Explore how different companies are monetizing AI and ML technologies. _ Learn how you can start your own journey in the AI field from scratch. DESCRIPTION AI and machine learning (ML) are probably the most fascinating technologies of the 21st century. AI is literally in every industry now. From medical to climate change, education to sport, finance to entertainment, AI is disrupting every industry as we know. So, the basic knowledge of AI/ML becomes mandatory for everyone. This book is your first step to start the journey in this field. Along with basic concepts of fields, like machine learning, deep learning and NLP, we will also explore how big companies are using these technologies to deliver greater user experience and earning millions of dollars in profit. Also, we will see how the owners of small- or medium-sized businesses can leverage and integrate these technologies with their products and services. Leveraging AI and ML can become that competitive moat which can differentiate the product from others. In this book, you will learn the root concepts of AI/ML and how these inanimate machines can actually become smarter than the humans at a few tasks, and how companies are using AI and how you can leverage AI to earn profits. WHAT YOU WILL LEARN Ê _ Core concepts of data science, machine learning, deep learning and NLP in simple and intuitive words. _ How you can leverage and integrate AI technologies in your business to differentiate your product in the market. _ The limitations of traditional non-tech businesses and how AI can bridge those gaps to increase revenues and decrease costs. _ How AI can help companies in launching new products, improving existing ones and automating mundane processes. _ Explore how big tech companies are using AI to automate different tasks and providing unique product experiences to their users. WHO THIS BOOK IS FORÊÊ This book is for anyone who is curious about this fascinating technology and how it really works at its core. It is also beneficial to those who want to start their career in AI/ ML. TABLE OF CONTENTSÊ 1. Introduction 2. Going deeper in ML concepts 3. Business perspective of AI 4. How to get started and pitfalls to avoid

Download or read book Demystifying Large Language Models with Examples written by Anand Vemula and published by Anand Vemula. This book was released on with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt: Demystifying large language models (LLMs), this book explores their inner workings, showcases their applications, and ponders their future impact. Part 1: Unveiling the LLM Landscape unveils the secrets behind these AI marvels. You'll learn how LLMs, trained on massive datasets of text and code, can understand and generate human-like language. Different LLM architectures and the key players developing them are also explored, providing a solid foundation for understanding this rapidly evolving field. Part 2: LLMs in Action brings these models to life with a showcase of their capabilities. From creating poems and code to summarizing complex information and translating languages, LLMs are transforming how we interact with machines. The book delves into how LLMs power chatbots and virtual assistants, automate repetitive coding tasks, and even assist programmers with debugging. Part 3: The Future of LLMs tackles the challenges and ethical considerations surrounding LLMs. It emphasizes the importance of mitigating bias in their outputs and ensuring transparency in their decision-making. Security and privacy concerns are also addressed, highlighting the need for responsible development practices. Looking ahead, the book explores how LLMs will revolutionize various industries. Education, customer service, and marketing are just a few examples where LLMs hold the potential to personalize experiences and streamline processes. The impact on creative fields is also discussed, with LLMs potentially serving as tools for inspiration while human creativity remains paramount. The book concludes by emphasizing the potential of LLMs and the importance of responsible development. By understanding their capabilities and limitations, we can harness the power of LLMs to shape a better future. This future hinges on ensuring LLMs are unbiased, transparent, and used for positive societal impact.