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Large Language Models Unleashing The Power Of Ai For Everyone
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Book Synopsis Large Language Models: Unleashing the Power of AI for Everyone by : Anand Vemula
Download or read book Large Language Models: Unleashing the Power of AI for Everyone written by Anand Vemula and published by Anand Vemula. This book was released on with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: Have you ever spoken to a machine that felt real? This book will show you how! Large Language Models (LLMs) are revolutionizing the way we interact with technology. These powerful AI systems can hold conversations, generate creative text formats, and even translate languages. But LLMs aren't just for tech giants anymore. This book breaks down the complex world of LLMs in a clear and engaging way, making it accessible to everyone. Inside you'll discover: What LLMs are and how they work (no technical jargon!) How LLMs can be used in your everyday life, from writing emails to sparking creative ideas The exciting possibilities of LLMs for the future, from smarter chatbots to personalized education tools Important considerations like bias and fairness in AI Whether you're a curious beginner or someone who wants to leverage the power of AI, this book is your guide to unlocking the potential of Large Language Models.
Book Synopsis Mastering Large Language Models with Python by : Raj Arun R
Download or read book Mastering Large Language Models with Python written by Raj Arun R and published by Orange Education Pvt Ltd. This book was released on 2024-04-12 with total page 547 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Comprehensive Guide to Leverage Generative AI in the Modern Enterprise KEY FEATURES ● Gain a comprehensive understanding of LLMs within the framework of Generative AI, from foundational concepts to advanced applications. ● Dive into practical exercises and real-world applications, accompanied by detailed code walkthroughs in Python. ● Explore LLMOps with a dedicated focus on ensuring trustworthy AI and best practices for deploying, managing, and maintaining LLMs in enterprise settings. ● Prioritize the ethical and responsible use of LLMs, with an emphasis on building models that adhere to principles of fairness, transparency, and accountability, fostering trust in AI technologies. DESCRIPTION “Mastering Large Language Models with Python” is an indispensable resource that offers a comprehensive exploration of Large Language Models (LLMs), providing the essential knowledge to leverage these transformative AI models effectively. From unraveling the intricacies of LLM architecture to practical applications like code generation and AI-driven recommendation systems, readers will gain valuable insights into implementing LLMs in diverse projects. Covering both open-source and proprietary LLMs, the book delves into foundational concepts and advanced techniques, empowering professionals to harness the full potential of these models. Detailed discussions on quantization techniques for efficient deployment, operational strategies with LLMOps, and ethical considerations ensure a well-rounded understanding of LLM implementation. Through real-world case studies, code snippets, and practical examples, readers will navigate the complexities of LLMs with confidence, paving the way for innovative solutions and organizational growth. Whether you seek to deepen your understanding, drive impactful applications, or lead AI-driven initiatives, this book equips you with the tools and insights needed to excel in the dynamic landscape of artificial intelligence. WHAT WILL YOU LEARN ● In-depth study of LLM architecture and its versatile applications across industries. ● Harness open-source and proprietary LLMs to craft innovative solutions. ● Implement LLM APIs for a wide range of tasks spanning natural language processing, audio analysis, and visual recognition. ● Optimize LLM deployment through techniques such as quantization and operational strategies like LLMOps, ensuring efficient and scalable model usage. ● Master prompt engineering techniques to fine-tune LLM outputs, enhancing quality and relevance for diverse use cases. ● Navigate the complex landscape of ethical AI development, prioritizing responsible practices to drive impactful technology adoption and advancement. WHO IS THIS BOOK FOR? This book is tailored for software engineers, data scientists, AI researchers, and technology leaders with a foundational understanding of machine learning concepts and programming. It's ideal for those looking to deepen their knowledge of Large Language Models and their practical applications in the field of AI. If you aim to explore LLMs extensively for implementing inventive solutions or spearheading AI-driven projects, this book is tailored to your needs. TABLE OF CONTENTS 1. The Basics of Large Language Models and Their Applications 2. Demystifying Open-Source Large Language Models 3. Closed-Source Large Language Models 4. LLM APIs for Various Large Language Model Tasks 5. Integrating Cohere API in Google Sheets 6. Dynamic Movie Recommendation Engine Using LLMs 7. Document-and Web-based QA Bots with Large Language Models 8. LLM Quantization Techniques and Implementation 9. Fine-tuning and Evaluation of LLMs 10. Recipes for Fine-Tuning and Evaluating LLMs 11. LLMOps - Operationalizing LLMs at Scale 12. Implementing LLMOps in Practice Using MLflow on Databricks 13. Mastering the Art of Prompt Engineering 14. Prompt Engineering Essentials and Design Patterns 15. Ethical Considerations and Regulatory Frameworks for LLMs 16. Towards Trustworthy Generative AI (A Novel Framework Inspired by Symbolic Reasoning) Index
Book Synopsis UNLEASHING THE POWER OF AI: A COMPREHENSIVE GUIDE TO ADVANTAGES AND DISADVANTAGES IN DIFFERENT INDUSTRIES by : Renato Racelis Maaliw III
Download or read book UNLEASHING THE POWER OF AI: A COMPREHENSIVE GUIDE TO ADVANTAGES AND DISADVANTAGES IN DIFFERENT INDUSTRIES written by Renato Racelis Maaliw III and published by Xoffencerpublication. This book was released on 2024-05-18 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: The term "artificial intelligence" (AI) refers to a category of computing technologies that have become increasingly advanced in recent years. This study presents an overview that is easily understandable of how it works, why it is important, and what we can do as a reaction to the difficulties that it poses. Since the beginning of the field of artificial intelligence, the capacity to behave in a way that gives the impression of intelligence has been the primary emphasis of the concept of AI. Several variations of the 'Turing test' determine that computers are intelligent when people are unable to distinguish between their behaviors and those of a person. The disruptive power of artificial intelligence (AI) Once considered an idea from the far future, artificial intelligence (AI) has now developed into a disruptive force that has impacted every facet of our life. A revolution has been triggered as a result of its rapid breakthroughs, with artificial intelligence altering the way we live, work, and interact with technology. The significance of artificial intelligence cannot be emphasized; its applications range from driverless automobiles to AI-assisted medical diagnosis. This article will investigate the myriad of ways in which AI is causing a revolution in technology, diving into its applications and the ramifications it has across a variety of industries. We will investigate the ways in which artificial intelligence is influencing areas such as management, human resources, digital marketing, creativity, the future of work, careers, startups, social media, marketing, economics, branding, personal development, investing, job interviews, money, motivation, healthcare, education, productivity, travel, and entrepreneurship.
Book Synopsis A Beginner's Guide to Large Language Models by : Enamul Haque
Download or read book A Beginner's Guide to Large Language Models written by Enamul Haque and published by Enamul Haque. This book was released on 2024-07-25 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Beginner's Guide to Large Language Models: Conversational AI for Non-Technical Enthusiasts Step into the revolutionary world of artificial intelligence with "A Beginner's Guide to Large Language Models: Conversational AI for Non-Technical Enthusiasts." Whether you're a curious individual or a professional seeking to leverage AI in your field, this book demystifies the complexities of large language models (LLMs) with engaging, easy-to-understand explanations and practical insights. Explore the fascinating journey of AI from its early roots to the cutting-edge advancements that power today's conversational AI systems. Discover how LLMs, like ChatGPT and Google's Gemini, are transforming industries, enhancing productivity, and sparking creativity across the globe. With the guidance of this comprehensive and accessible guide, you'll gain a solid understanding of how LLMs work, their real-world applications, and the ethical considerations they entail. Packed with vivid examples, hands-on exercises, and real-life scenarios, this book will empower you to harness the full potential of LLMs. Learn to generate creative content, translate languages in real-time, summarise complex information, and even develop AI-powered applications—all without needing a technical background. You'll also find valuable insights into the evolving job landscape, equipping you with the knowledge to pursue a successful career in this dynamic field. This guide ensures that AI is not just an abstract concept but a tangible tool you can use to transform your everyday life and work. Dive into the future with confidence and curiosity, and discover the incredible possibilities that large language models offer. Join the AI revolution and unlock the secrets of the technology that's reshaping our world. "A Beginner's Guide to Large Language Models" is your key to understanding and mastering the power of conversational AI. Introduction This introduction sets the stage for understanding the evolution of artificial intelligence (AI) and large language models (LLMs). It highlights the promise of making complex AI concepts accessible to non-technical readers and outlines the unique approach of this book. Chapter 1: Demystifying AI and LLMs: A Journey Through Time This chapter introduces the basics of AI, using simple analogies and real-world examples. It traces the evolution of AI, from rule-based systems to machine learning and deep learning, leading to the emergence of LLMs. Key concepts such as tokens, vocabulary, and embeddings are explained to build a solid foundation for understanding how LLMs process and generate language. Chapter 2: Mastering Large Language Models Delving deeper into the mechanics of LLMs, this chapter covers the transformer architecture, attention mechanisms, and the processes involved in training and fine-tuning LLMs. It includes hands-on exercises with prompts and discusses advanced techniques like chain-of-thought prompting and prompt chaining to optimise LLM performance. Chapter 3: The LLM Toolbox: Unleashing the Power of Language AI This chapter explores the diverse applications of LLMs in text generation, language translation, summarisation, question answering, and code generation. It also introduces multimodal LLMs that handle both text and images, showcasing their impact on various creative and professional fields. Practical examples and real-life scenarios illustrate how these tools can enhance productivity and creativity. Chapter 4: LLMs in the Real World: Transforming Industries Highlighting the transformative impact of LLMs across different industries, this chapter covers their role in healthcare, finance, education, creative industries, and business. It discusses how LLMs are revolutionising tasks such as medical diagnosis, fraud detection, personalised tutoring, and content creation, and explores the future of work in an AI-powered world. Chapter 5: The Dark Side of LLMs: Ethical Concerns and Challenges Addressing the ethical challenges of LLMs, this chapter covers bias and fairness, privacy concerns, misuse of LLMs, security threats, and the transparency of AI decision-making. It also discusses ethical frameworks for responsible AI development and presents diverse perspectives on the risks and benefits of LLMs. Chapter 6: Mastering LLMs: Advanced Techniques and Strategies This chapter focuses on advanced techniques for leveraging LLMs, such as combining transformers with other AI models, fine-tuning open-source LLMs for specific tasks, and building LLM-powered applications. It provides detailed guidance on prompt engineering for various applications and includes a step-by-step guide to creating an AI-powered chatbot. Chapter 7: LLMs and the Future: A Glimpse into Tomorrow Looking ahead, this chapter explores emerging trends and potential breakthroughs in AI and LLM research. It discusses ethical AI development, insights from leading AI experts, and visions of a future where LLMs are integrated into everyday life. The chapter highlights the importance of building responsible AI systems that address societal concerns. Chapter 8: Your LLM Career Roadmap: Navigating the AI Job Landscape Focusing on the growing demand for LLM expertise, this chapter outlines various career paths in the AI field, such as LLM scientists, engineers, and prompt engineers. It provides resources for building the necessary skillsets and discusses the evolving job market, emphasising the importance of continuous learning and adaptability in a rapidly changing industry. Thought-Provoking Questions, Simple Exercises, and Real-Life Scenarios The book concludes with practical exercises and real-life scenarios to help readers apply their knowledge of LLMs. It includes thought-provoking questions to deepen understanding and provides resources and tools for further exploration of LLM applications. Tools to Help with Your Exercises This section lists tools and platforms for engaging with LLM exercises, such as OpenAI's Playground, Google Translate, and various IDEs for coding. Links to these tools are provided to facilitate hands-on learning and experimentation.
Book Synopsis Unleashing the Power of AI for Proposals by : NiKole Maxwell
Download or read book Unleashing the Power of AI for Proposals written by NiKole Maxwell and published by Technikole Consulting. This book was released on 2023-05-01 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Unleashing the Power of AI for Proposals" is an energizing ebook penned by NiKole Maxwell, where she demystifies the intersection of proposal management and artificial intelligence. This guide isn't just about theory; it's a practical playbook that showcases how AI is not just a buzzword but a game-changer in the realm of proposals. NiKole does a fantastic job of shedding light on AI's transformative potential, from automating mundane tasks to crafting proposals that win contracts. She illustrates how AI can streamline the proposal development process, increase productivity, and ultimately drive business growth. Whether you're new to the world of AI or a seasoned pro, this book will open your eyes to the endless possibilities that AI offers for your proposal program. After reading, you'll be ready to harness AI's power to take your proposals to the next level. It's a must-read for anyone looking to stay ahead in the ever-evolving world of business. Get ready to embark on a journey of discovery and innovation!
Book Synopsis Developing Kaggle Notebooks by : Gabriel Preda
Download or read book Developing Kaggle Notebooks written by Gabriel Preda and published by Packt Publishing Ltd. This book was released on 2023-12-27 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: Printed in Color Develop an array of effective strategies and blueprints to approach any new data analysis on the Kaggle platform and create Notebooks with substance, style and impact Leverage the power of Generative AI with Kaggle Models Purchase of the print or Kindle book includes a free PDF eBook Key Features Master the basics of data ingestion, cleaning, exploration, and prepare to build baseline models Work robustly with any type, modality, and size of data, be it tabular, text, image, video, or sound Improve the style and readability of your Notebooks, making them more impactful and compelling Book DescriptionDeveloping Kaggle Notebooks introduces you to data analysis, with a focus on using Kaggle Notebooks to simultaneously achieve mastery in this fi eld and rise to the top of the Kaggle Notebooks tier. The book is structured as a sevenstep data analysis journey, exploring the features available in Kaggle Notebooks alongside various data analysis techniques. For each topic, we provide one or more notebooks, developing reusable analysis components through Kaggle's Utility Scripts feature, introduced progressively, initially as part of a notebook, and later extracted for use across future notebooks to enhance code reusability on Kaggle. It aims to make the notebooks' code more structured, easy to maintain, and readable. Although the focus of this book is on data analytics, some examples will guide you in preparing a complete machine learning pipeline using Kaggle Notebooks. Starting from initial data ingestion and data quality assessment, you'll move on to preliminary data analysis, advanced data exploration, feature qualifi cation to build a model baseline, and feature engineering. You'll also delve into hyperparameter tuning to iteratively refi ne your model and prepare for submission in Kaggle competitions. Additionally, the book touches on developing notebooks that leverage the power of generative AI using Kaggle Models.What you will learn Approach a dataset or competition to perform data analysis via a notebook Learn data ingestion and address issues arising with the ingested data Structure your code using reusable components Analyze in depth both small and large datasets of various types Distinguish yourself from the crowd with the content of your analysis Enhance your notebook style with a color scheme and other visual effects Captivate your audience with data and compelling storytelling techniques Who this book is for This book is suitable for a wide audience with a keen interest in data science and machine learning, looking to use Kaggle Notebooks to improve their skills and rise in the Kaggle Notebooks ranks. This book caters to: Beginners on Kaggle from any background Seasoned contributors who want to build various skills like ingestion, preparation, exploration, and visualization Expert contributors who want to learn from the Grandmasters to rise into the upper Kaggle rankings Professionals who already use Kaggle for learning and competing
Book Synopsis The Future of Competitive Strategy by : Mohan Subramaniam
Download or read book The Future of Competitive Strategy written by Mohan Subramaniam and published by MIT Press. This book was released on 2022-08-16 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: How legacy firms can combine their traditional strengths with the power of data and digital ecosystems to forge a new competitive strategy for the digital era. How can legacy firms remain relevant in the digital era? In The Future of Competitive Strategy, strategic management expert Mohan Subramaniam explains how firms can leverage both their traditional strengths and the modern-day power of data and digital ecosystems to forge a new competitive strategy. Drawing on the experiences of a range of companies, including Caterpillar, Sleep Number, and Whirlpool, he explains how firms can benefit from data’s enlarged role in modern business, develop digital ecosystems tailored to their unique business needs, and use new frameworks to harness the power of data for competitive advantage. Subramaniam presents digital ecosystems as a combination of production and consumption ecosystems, which can be used by legacy firms to unlock the value of data at various levels—from improving operational efficiencies to creating new data-driven services and transforming traditional products into digital platforms. He explores the ways sensors and the Internet of Things provide new kinds of customer data; presents the concept of digital competitors—other firms that have access to similar data; discusses the new digital capabilities that firms need to develop; and addresses privacy and security issues associated with data sharing. Who needs this book? Any firm that wants to revitalize traditional business models, offer a richer customer experience, and expand its competitive arena into new digital ecosystems.
Book Synopsis The Alignment Problem: Machine Learning and Human Values by : Brian Christian
Download or read book The Alignment Problem: Machine Learning and Human Values written by Brian Christian and published by W. W. Norton & Company. This book was released on 2020-10-06 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: A jaw-dropping exploration of everything that goes wrong when we build AI systems and the movement to fix them. Today’s “machine-learning” systems, trained by data, are so effective that we’ve invited them to see and hear for us—and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole—and appear to assess Black and White defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And as autonomous vehicles share our streets, we are increasingly putting our lives in their hands. The mathematical and computational models driving these changes range in complexity from something that can fit on a spreadsheet to a complex system that might credibly be called “artificial intelligence.” They are steadily replacing both human judgment and explicitly programmed software. In best-selling author Brian Christian’s riveting account, we meet the alignment problem’s “first-responders,” and learn their ambitious plan to solve it before our hands are completely off the wheel. In a masterful blend of history and on-the ground reporting, Christian traces the explosive growth in the field of machine learning and surveys its current, sprawling frontier. Readers encounter a discipline finding its legs amid exhilarating and sometimes terrifying progress. Whether they—and we—succeed or fail in solving the alignment problem will be a defining human story. The Alignment Problem offers an unflinching reckoning with humanity’s biases and blind spots, our own unstated assumptions and often contradictory goals. A dazzlingly interdisciplinary work, it takes a hard look not only at our technology but at our culture—and finds a story by turns harrowing and hopeful.
Book Synopsis Mastering the Muse: A Guide To Google Gemini by : James Spencer
Download or read book Mastering the Muse: A Guide To Google Gemini written by James Spencer and published by James Spencer. This book was released on 2024-04-16 with total page 39 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tired of Staring at a Blank Page? Unleash Your Creative Potential with Google Gemini! Are you a writer, entrepreneur, or student struggling to get those creative juices flowing? Do you ever feel overwhelmed by information overload or simply wish you had an extra pair of hands to help you with your tasks? This e-book is your key to unlocking the power of Google Gemini, a revolutionary AI tool designed to supercharge your productivity and creativity. In "Mastering the Muse: A Guide To Google Gemini," you'll learn: The secrets to using Google Gemini for writing, research, translation, and more! How to craft powerful prompts that get exactly the kind of AI-generated content you need. Practical applications for Gemini across various tasks, saving you time and effort. The ethical considerations of using AI, so you can leverage this technology responsibly. Whether you're a seasoned writer or just starting out, "Mastering the Muse" can help you: Break through writer's block and generate fresh ideas. Research topics quickly and efficiently. Save time on repetitive tasks like social media content creation. Boost your overall productivity and achieve more in less time. This e-book is packed with actionable techniques, clear explanations, and a roadmap to the future of AI. Don't wait any longer to unleash your creative potential! Download your copy of "Mastering the Muse: A Guide To Google Gemini" today and start creating like never before! #ebook #AIwriting #productivity
Book Synopsis AI Transformers Unleashed by : Robert Johnson
Download or read book AI Transformers Unleashed written by Robert Johnson and published by HiTeX Press. This book was released on 2024-10-27 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: "AI Transformers Unleashed: From BERT to Large Language Models and Generative AI" is an insightful exploration into one of the most transformative advancements in artificial intelligence. This book delves into the intricacies of AI transformer models, providing a comprehensive understanding of their architecture, functionality, and the profound impact they've had on natural language processing and beyond. Through clear explanations and detailed analysis, readers are guided from foundational concepts to the latest innovations, covering key models such as BERT and GPT, and examining their application across various domains. With a keen focus on both technical challenges and ethical considerations, this book also addresses the complexities surrounding bias, privacy, and transparency in AI technologies. It offers a balanced discourse on the potential for misuse and the imperative for responsible deployment. Designed to educate and inform, "AI Transformers Unleashed" serves as an essential resource for students, industry professionals, and anyone eager to grasp the current and future landscape of AI, ensuring readers are well-equipped to navigate the evolving field with confidence and insight.
Book Synopsis Artificial Intelligence Simplified by : Binto George
Download or read book Artificial Intelligence Simplified written by Binto George and published by CSTrends LLP. This book was released on 2016-01-08 with total page 1 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book introduces key Artificial Intelligence (AI) concepts in an easy-to-read format with examples and illustrations. A complex, long, overly mathematical textbook does not always serve the purpose of conveying the basic AI concepts to most people. Someone with basic knowledge in Computer Science can have a quick overview of AI (heuristic searches, genetic algorithms, expert systems, game trees, fuzzy expert systems, natural language processing, super intelligence, etc.) with everyday examples. If you are taking a basic AI course and find the traditional AI textbooks intimidating, you may choose this as a “bridge” book, or as an introductory textbook. For students, there is a lower priced edition (ISBN 978-1944708016) of the same book. Published by CSTrends LLP.
Book Synopsis The Year in Tech, 2023: The Insights You Need from Harvard Business Review by : Harvard Business Review
Download or read book The Year in Tech, 2023: The Insights You Need from Harvard Business Review written by Harvard Business Review and published by Harvard Business Press. This book was released on 2022-10-25 with total page 89 pages. Available in PDF, EPUB and Kindle. Book excerpt: A year of HBR's essential thinking on tech—all in one place. Easy-to-use AI tools, contactless commerce, crypto for business, the mature metaverse—new technologies like these are reshaping organizations at the hybrid office, on factory floors, and in the C-suite. What should you and your company be doing now to take advantage of the new opportunities these technologies are creating—and avoid falling victim to disruption? The Year in Tech 2023: The Insights You Need from Harvard Business Review will help you understand what the latest and most important tech innovations mean for your organization and how you can use them to compete and win in today's turbulent business environment. Business is changing. Will you adapt or be left behind? Get up to speed and deepen your understanding of the topics that are shaping your company's future with the Insights You Need from Harvard Business Review series. Featuring HBR's smartest thinking on fast-moving issues—blockchain, cybersecurity, AI, and more—each book provides the foundational introduction and practical case studies your organization needs to compete today and collects the best research, interviews, and analysis to get it ready for tomorrow. You can't afford to ignore how these issues will transform the landscape of business and society. The Insights You Need series will help you grasp these critical ideas—and prepare you and your company for the future.
Download or read book Creative Confidence written by Tom Kelley and published by Crown Currency. This book was released on 2013-10-15 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: IDEO founder and Stanford d.school creator David Kelley and his brother Tom Kelley, IDEO partner and the author of the bestselling The Art of Innovation, have written a powerful and compelling book on unleashing the creativity that lies within each and every one of us. Too often, companies and individuals assume that creativity and innovation are the domain of the "creative types." But two of the leading experts in innovation, design, and creativity on the planet show us that each and every one of us is creative. In an incredibly entertaining and inspiring narrative that draws on countless stories from their work at IDEO, the Stanford d.school, and with many of the world's top companies, David and Tom Kelley identify the principles and strategies that will allow us to tap into our creative potential in our work lives, and in our personal lives, and allow us to innovate in terms of how we approach and solve problems. It is a book that will help each of us be more productive and successful in our lives and in our careers.
Book Synopsis Set up Your Business with Gen AI: Using ChatGPT & Midjourney for Side Hustle Success by : Alex Stirling
Download or read book Set up Your Business with Gen AI: Using ChatGPT & Midjourney for Side Hustle Success written by Alex Stirling and published by Mental Health Publishing. This book was released on 2024-01-21 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the fast-paced age of technological revolution, the most successful entrepreneurs are those who harness the power of Artificial Intelligence (AI) to transform their ideas into profit. "Set up Your Business with Gen AI" is your essential guide to integrating the might of ChatGPT and Midjourney into your business blueprint, propelling your side hustle from a mere concept to a thriving venture. Key Features: Discover the Power of ChatGPT: Understand the limitless capabilities of ChatGPT, from answering customer queries to executing business tasks, and how it can streamline operations, reduce overhead, and increase profitability. Maximize Midjourney's Potential: Navigate the intricate features of Midjourney, the advanced platform for creators and businesses, and learn how to capitalize on its resources to amplify your brand’s presence and drive sales. Step-by-step Tutorials: Detailed walkthroughs on setting up, integrating, and optimizing both ChatGPT and Midjourney for your unique business needs. Whether you're a tech newbie or an experienced developer, this guide ensures a smooth ride. Real-world Success Stories: Be inspired by entrepreneurs from various fields who have achieved side hustle success through the amalgamation of ChatGPT and Midjourney. With expert advice, practical tools, and a visionary approach, this book is an invaluable asset for both seasoned business owners and aspiring entrepreneurs. Dive into the world of Gen AI and ride the wave of innovation, setting your business on a path to unmatched success.
Book Synopsis Transformers for Natural Language Processing and Computer Vision by : Denis Rothman
Download or read book Transformers for Natural Language Processing and Computer Vision written by Denis Rothman and published by Packt Publishing Ltd. This book was released on 2024-02-29 with total page 731 pages. Available in PDF, EPUB and Kindle. Book excerpt: The definitive guide to LLMs, from architectures, pretraining, and fine-tuning to Retrieval Augmented Generation (RAG), multimodal Generative AI, risks, and implementations with ChatGPT Plus with GPT-4, Hugging Face, and Vertex AI Key Features Compare and contrast 20+ models (including GPT-4, BERT, and Llama 2) and multiple platforms and libraries to find the right solution for your project Apply RAG with LLMs using customized texts and embeddings Mitigate LLM risks, such as hallucinations, using moderation models and knowledge bases Purchase of the print or Kindle book includes a free eBook in PDF format Book DescriptionTransformers for Natural Language Processing and Computer Vision, Third Edition, explores Large Language Model (LLM) architectures, applications, and various platforms (Hugging Face, OpenAI, and Google Vertex AI) used for Natural Language Processing (NLP) and Computer Vision (CV). The book guides you through different transformer architectures to the latest Foundation Models and Generative AI. You’ll pretrain and fine-tune LLMs and work through different use cases, from summarization to implementing question-answering systems with embedding-based search techniques. You will also learn the risks of LLMs, from hallucinations and memorization to privacy, and how to mitigate such risks using moderation models with rule and knowledge bases. You’ll implement Retrieval Augmented Generation (RAG) with LLMs to improve the accuracy of your models and gain greater control over LLM outputs. Dive into generative vision transformers and multimodal model architectures and build applications, such as image and video-to-text classifiers. Go further by combining different models and platforms and learning about AI agent replication. This book provides you with an understanding of transformer architectures, pretraining, fine-tuning, LLM use cases, and best practices.What you will learn Breakdown and understand the architectures of the Original Transformer, BERT, GPT models, T5, PaLM, ViT, CLIP, and DALL-E Fine-tune BERT, GPT, and PaLM 2 models Learn about different tokenizers and the best practices for preprocessing language data Pretrain a RoBERTa model from scratch Implement retrieval augmented generation and rules bases to mitigate hallucinations Visualize transformer model activity for deeper insights using BertViz, LIME, and SHAP Go in-depth into vision transformers with CLIP, DALL-E 2, DALL-E 3, and GPT-4V Who this book is for This book is ideal for NLP and CV engineers, software developers, data scientists, machine learning engineers, and technical leaders looking to advance their LLMs and generative AI skills or explore the latest trends in the field. Knowledge of Python and machine learning concepts is required to fully understand the use cases and code examples. However, with examples using LLM user interfaces, prompt engineering, and no-code model building, this book is great for anyone curious about the AI revolution.
Book Synopsis AI Unleashed: The C-Suite Blueprint for Driving Innovation and Profitability by : Dan Dinu
Download or read book AI Unleashed: The C-Suite Blueprint for Driving Innovation and Profitability written by Dan Dinu and published by OKT.ai. This book was released on 2024-05-23 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI Unleashed is a practical guide for C-suite executives who want to leverage the power of artificial intelligence to drive innovation and profitability. This book debunks common misconceptions about AI, explaining its true potential and how it can be implemented effectively. It offers a comprehensive playbook for each C-suite role, covering strategy, investment, ethics, talent, and operational excellence. Dan Dinu walks readers through a step-by-step process for identifying and implementing AI solutions, providing real-world examples and actionable advice. He also addresses the challenges and risks associated with AI, highlighting the importance of data governance, cybersecurity, and ethical considerations. Key takeaways: Unleash the power of AI: Learn how to identify and capitalize on AI opportunities within your organization. Develop a winning AI strategy: Understand how AI can transform every aspect of your business, from marketing and sales to production and customer service. Navigate the ethical landscape: Explore the challenges and opportunities presented by AI ethics and develop a framework for responsible AI implementation. Build an AI-ready workforce: Learn how to recruit, train, and upskill your team to thrive in the AI era. Calculate the ROI of AI: Discover how to measure the value of your AI investments and ensure they deliver tangible results. AI Unleashed is an essential resource for any C-suite leader who wants to navigate the AI revolution and shape the future of their business.
Download or read book The AI Edge written by Jeb Blount and published by John Wiley & Sons. This book was released on 2024-09-11 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Upgrade your sales process by plugging into the new power of artificial intelligence In today's cutthroat sales world, where sales professionals are constantly juggling multiple responsibilities and navigating a sea of relentless competitors, everyone is looking for an edge. What if that EDGE is found in a tool powerful enough to give you more time in your sales day, accelerate your productivity, and still leave room for the human touch that's vital to building relationships? Enter the game-changing world of Artificial Intelligence. Enter The AI Edge. The AI Edge isn't just another book about technology. Anthony Iannarino and Jeb Blount, the world's most prolific sales book authors and trainers, have come together to transform how you navigate the sales process by helping you plug into artificial intelligence. This groundbreaking, hands-on guide marries their unparalleled sales strategies, used by millions of salespeople, with the transformative power of AI. Drawing from cutting-edge research and real-world applications, the authors demystify AI and demonstrate its potential to give you more time to leverage your human advantage—creativity, empathy, and authenticity—to build deeper relationships and winning solutions that give you a leg up over the competition. Inside you'll find: Expert Guidance: Benefit from the combined wisdom of Blount and Iannarino, two giants in the sales realm, as they lay out the roadmap to plugging into an AI-augmented sales strategy Streamlined Processes & Empowered Engagement: Discover AI's role in automating repetitive tasks, freeing you to fully lean into the uniquely human side of sales: cultivating relationships, unleashing creativity, and offering unparalleled authenticity Sales Prompt Engineering: Get hands-on with tailored prompts that allow you to tap into generative AI and get better results in less time Powerful Messaging: Learn how AI, used effectively, can help you develop and go to market with powerful messaging and presentations that connect with stakeholder needs and separate you from the crowded field Intelligent Insights: Grasp how AI can be leveraged to surface insights that give you instant authority, grab stakeholder attention, and lead to richer, more productive sales conversations Research: Leverage the power of AI to build target prospecting lists that open pipeline opportunities while reducing cold calling and rejection Navigating the world of AI might seem daunting, but with Iannarino and Blount at the helm, it's a journey of empowerment, innovation, and profound human connection. Embrace a future where technology and humanity come together and carve out your own AI Edge in sales.
