Artificial Intelligence Language

Each year,John Brockman, publisher of Edge.org, challenges some of the world's greatest scientists, artists, and philosophers to answer a provocative question crucial to our time. In 2014 he asked 175 brilliant minds to ponder: What scientific idea needs to be put aside in order to make room for new ideas to advance? The answers are as surprising as they are illuminating.

In ChatGPT and the Future of AI, the sequel to The Deep Learning Revolution, Terrence Sejnowski offers a nuanced exploration of large language models (LLMs) like ChatGPT and what their future holds. How should we go about understanding LLMs? Do these language models truly understand what they are saying? Or is it possible that what appears to be intelligence in LLMs may be a mirror that merely reflects the intelligence of the interviewer? In this book, Sejnowski answers all our urgent questions about this astonishing new technology.

In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You’ll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks.

Artificial intelligence and cybersecurity veteran Justin Hutchens delivers an incisive and penetrating look at how contemporary and future AI can and will be weaponized for malicious and adversarial purposes. In the book, you will explore the history of social engineering and social robotics, the psychology of deception, considerations of machine sentience and consciousness, and the history of how technology has been weaponized in the past.

Mastering ChatGPT: A Comprehensive Guide to Using and Engineering Language Models for Natural Language Processing is a comprehensive guide to the cutting-edge technology of ChatGPT, the latest generation of GPT models. This book covers everything from understanding the basics of GPT-3 and its capabilities to advanced techniques for prompt engineering, fine-tuning for specific tasks, and utilizing GPT-3's built-in controllers and advanced features.

Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions.

In this audiobook, Allen Young, the transhumanistic Asian-American man, specifies how the psychological human linguistic capabilities should be used in advancing linguistic artificial intelligence.

In Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications, Principal Data Scientist at Amazon Web Services, Shreyas Subramanian, delivers a practical guide for developers and data scientists who wish to build and deploy cost-effective large language model (LLM)-based solutions. In the book, you'll find coverage of a wide range of key topics, including how to select a model, pre- and post-processing of data, prompt engineering, and instruction fine-tuning.

Ignite your untapped potential with ChatGPT and revolutionize your personal and professional life using this comprehensive, step-by-step guide to AI mastery! With up to 40% of daily work activities capable of being automated, there's never been a better time to dive into the world of AI. In this guide, you'll uncover everything you need to know about ChatGPT and how to use it to streamline your workflow and enhance your productivity. You'll gain practical insights into how to make ChatGPT work for you.

ChatGPT offers incredible possibilities for beginners and seasoned users alike, bridging the gap between basic use and career-enhancing prowess. This easy-to-follow guide unveils the potential lying within, eliminating any intimidation and replacing it with confidence and creativity.

In this accessible, up-to-date, and authoritative examination of the world’s most radical technology, neuroscientist and AI researcher Christopher Summerfield explores what it really takes to build a brain from scratch. We have entered a world in which disarmingly human-like chatbots, such as ChatGPT, Claude and Bard, appear to be able to talk and reason like us—and are beginning to transform everything we do. But can AI ‘think’, 'know' and ‘understand’? What are its values? Whose biases is it perpetuating? Can it lie and if so, could we tell? Does their arrival threaten our very existence?

Bestselling children's author Andy Stanton has made a career out of writing differently—from the unconventional ‘hero' of his bestselling Mr Gum series to his penchant for absurdist plots, his children's books are anything but formulaic. When a friend introduces him to ChatGPT, the new large language chatbot, Andy is as sceptical as he is curious. Can this jumble of algorithms really mimic the spontaneity of human thought? Could it one day replace human authors like him for good? And are we soon to be ruled over by despotic robot overlords.

The Power and Potential of ChatGPT is a comprehensive and insightful exploration of one of our time's most significant technological developments. It offers a balanced and nuanced perspective on the potential and challenges of AI. It provides practical insights and advice for navigating this complex and rapidly-evolving field.

If you are an experienced coder or a beginner looking for the first time at this topic, the only thing you really need to know is that Python is one of the most requested and used languages, and there is no sign of change in the future. This is why Python programmers are among the most valued professionals and, therefore, well-paid. This is certainly one very good reason, I think, to start learning more about this topic. Don’t you agree?

Artificial intelligence is the secret behind the big ones like Google, Facebook, Amazon, and we all know that. But it can also be a powerful tool in your own hands. With this audiobook, you will prepare the ground for your future success, either if you want to start up your own AI enterprise, apply your knowledge to your current business, or find a job at the greatest and most innovative companies. If programming will open you many doors, Python programming will open you even more.

If you wish to learn python, Python Volume 1 will introduce you to the unlimited potential of python programming language in the world of big data, data science, deep learning, machine learning, artificial intelligence, and more.

Algorithms of the Intelligent Web, Second Edition teaches you how to create machine learning applications that crunch and wrangle data collected from users, web applications, and website logs. In this totally revised edition, you'll look at intelligent algorithms that extract real value from data. Key machine learning concepts are explained with code examples in Python's scikit-learn. This book guides you through algorithms to capture, store, and structure data streams coming from the web.

Dive into a groundbreaking exploration of the fusion between artificial intelligence and the age-old human pursuit of language learning. This book chronicles the transformative potential of tools like ChatGPT in reshaping how we approach languages. Beyond the technology, it delves into the human aspect—the learners, educators, and the broader society impacted by this digital revolution.

This book provides a detailed overview of ChatGPT, including its development, training, and applications. Listeners will learn about the inner workings of ChatGPT and how it uses NLP to generate responses. The book also covers the limitations of ChatGPT and the ethical considerations that must be considered when using the technology.

Dieses Hörbuch ist so aufgebaut, dass Ihnen die Inhalte im Rahmen der geschichtlichen Entwicklung der KI vermittelt werden. Aus diesem Grund beginnt unsere Reise mit dem Punkt "Einführung und geschichtlicher Hintergrund der KI". Im zweiten Abschnitt greifen wir zunächst die anfänglichen Techniken der KI auf. Sie lernen dabei die Konzepte und berühmte Beispielsysteme kennen, die diese frühe Phase der Euphorie auslösten.