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This Element traverses the concept and practice of bot mimicry, defined as the imitation of imitative software, specifically the practice of writing in the style of social bots. Working as both an inquiry into and an extended definition of the concept, the Element argues that bot mimicry engenders a new mode of knowing about and relating to imitative software - as well as a distinctly literary approach to rendering and negotiating artificial intelligence imaginaries. The Element presents a software-oriented mode of understanding Internet culture, a novel reading of Alan Turing's imitation game, and the first substantial integration of Walter Benjamin's theory of the mimetic faculty into the study of digital culture, thus offering multiple unique lines of inquiry. Ultimately, the Element illuminates the value of mimicry - to the understanding of an emerging practice of digital literary culture, to practices of research, and to our very conceptions of artificial intelligence.

Chatbots. --- Natural language processing (Computer science) --- Authorship --- Imitation. --- Psychological aspects. --- Data processing.

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Recent technological advances have resulted in a new generation of powerful text processing and generation tools, that produce text very similar to what a human could do. Such tools have the potential to change the way we work, learn and teach – and this book enables you to understand and be part of this exciting development. Did you wonder how tools like ChatGPT or Bard work, but do not have a technical background? Then this is the right book for you! To discuss and better understand what such technologies are capable of and how this will impact our lives and our society, a basic background knowledge about text processing and generation technologies is required. In particular, the book discusses the following questions: How did the field of automated text processing and generation evolve over the last years, and what happened to allow the incredible recent advances? Are chatbots such as ChatGPT or Bard truly understanding humans? What pitfalls exist and how are stereotypes of the society reflected in such models? What is the potential of such technology, and how will the digital society of the future look like in terms of human-chatbot-collaboration? The book is aimed for a general audience, briefly explaining mathematical or technical background when necessary. After having read this book, you will be confident to participate in public discussions about how this new generation of language models will impact society. You will be aware of the risks and pitfalls these technologies can bring along, and how to deal responsibly when making use of tools built from AI technology in general.

Artificial intelligence. --- Computers and civilization. --- User interfaces (Computer systems). --- Human-computer interaction. --- Artificial intelligence --- Artificial Intelligence. --- Computers and Society. --- User Interfaces and Human Computer Interaction. --- Data Science. --- Data processing. --- Natural language processing (Computer science) --- Chatbots.

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Acquire the knowledge needed to work effectively in conversational artificial intelligence (AI) and understand the opportunities and threats it can potentially bring. This book will help you navigate from the traditional world of dialogue systems that revolve around hard coded scripts, to the world of large language models, prompt engineering, conversational AI platforms, multi-modality, and ultimately autonomous agents. In this new world, decisions are made by a system that may forever remain a ‘black box’ for most of us. This book aims to eliminate unnecessary noise and describe the fundamental components of conversational AI. Past experiences will prove invaluable in constructing seamless hybrid systems. This book will provide the most recommended solutions, recognizing that it is not always necessary to blindly pursue new tools. Written in unprecedented and turbulent times for conversational interfaces you’ll see that despite previous waves of advancement in conversational technology, now conversational interfaces are gaining unparalleled popularity. Specifically, the release of ChatGPT in November 2022 by Open AI revolutionized the conversational paradigm and showed how easy and intuitive communication with a computer can be. Old professions are being disrupted, new professions are emerging, and even the most conservative corporations are changing their strategy and experimenting with large language models, allocating an unprecedented amount of budget to these projects. No one knows for sure the exact future of conversational AI, but everyone agrees that it’s here to stay. You will: See how large language models are constructed and used in conversational systems Review the risks and challenges of new technologies in conversational AI Examine techniques for prompt engineering Enable practitioners to keep abreast of recent developments in conversational AI.

Artificial intelligence --- Chatbots. --- Moral and ethical aspects. --- Artificial intelligence. --- Technological innovations. --- Project management. --- Quantitative research. --- Big data. --- Engineering --- Innovation and Technology Management. --- Project Management. --- Artificial Intelligence. --- Data Analysis and Big Data. --- Big Data. --- Data Engineering. --- Data processing.

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Technologie speelt een steeds grotere rol in ons leven. Wanneer we ons niet goed in ons vel voelen, zoeken we al snel online naar antwoorden en hulp. Ook hulpverleners maken steeds meer gebruik van technologie in therapie. Websites, apps, chatbots, wearables, serious games, virtual en augmented reality lijken veelbelovende tools om ons te helpen omgaan met stress, depressie, paniekaanvallen, trauma, fobieën en eetstoornissen. Maar hoe zijn die behandelingen tot stand gekomen en wat is niet alleen hype, maar ook hulp?(https://www.lannoo.be/nl/epsychologie)

verpleegkunde --- Psychology --- Telecommunication technology --- niet-medicinale therapie --- psychologie --- client centered therapie --- technologie --- geestelijke gezondheidszorg --- psychotherapie --- Computer. Automation --- Technologie --- Geestelijke gezondheidszorg --- Therapie --- Apps --- Chatbots --- Serious gaming --- Virtuele realiteit --- Augmented reality --- Wearables --- Psychologie. --- Geestelijke gezondheidszorg. --- psychotherapieën, overige --- 615.88 --- Technologie in de zorg --- 614.5 --- PXL-Healthcare 2020 --- klinische psychologie --- geestelijke gezondheid --- App --- Chatbot --- Serious game --- Virtual reality --- Wearable --- Maatschappij --- Bot (computerprogramma)

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This book will show how generative technology works and the drivers. It will also look at the applications – showing what various startups and large companies are doing in the space. There will also be a look at the challenges and risk factors. During the past decade, companies have spent billions on AI. But the focus has been on applying the technology to predictions – which is known as analytical AI. It can mean that you receive TikTok videos that you cannot resist. Or analytical AI can fend against spam or fraud or forecast when a package will be delivered. While such things are beneficial, there is much more to AI. The next megatrend will be leveraging the technology to be creative. For example, you could take a book and an AI model will turn it into a movie – at very little cost. This is all part of generative AI. It’s still in the nascent stages but it is progressing quickly. Generative AI can already create engaging blog posts, social media messages, beautiful artwork and compelling videos. The potential for this technology is enormous. It will be useful for many categories like sales, marketing, legal, product design, code generation, and even pharmaceutical creation. What You Will Learn The importance of understanding generative AI The fundamentals of the technology, like the foundation and diffusion models How generative AI apps work How generative AI will impact various categories like the law, marketing/sales, gaming, product development, and code generation. The risks, downsides and challenges. Who This Book is For Professionals that do not have a technical background. Rather, the audience will be mostly those in Corporate America (such as managers) as well as people in tech startups, who will need an understanding of generative AI to evaluate the solutions.

Chatbots. --- Question-answering systems. --- Artificial intelligence. --- Natural language generation (Computer science) --- ChatGPT. --- Computers as authors --- Generation of natural language (Computer science) --- Machine authorship --- Sentence generation (Computer science) --- Text generation (Computer science) --- Authorship --- Computational linguistics --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Artificial intelligence --- Problem solving --- Bots, Chat --- Chat bots --- Chatterbots --- Conversational agents (Computer software) --- Interactive computer systems --- Question-answering systems --- Data processing --- Machine learning. --- Natural language processing (Computer science). --- Expert systems (Computer science). --- Computational linguistics. --- Machine Learning. --- Natural Language Processing (NLP). --- Knowledge Based Systems. --- Data Science. --- Computational Linguistics. --- Artificial Intelligence. --- Data processing. --- Knowledge-based systems (Computer science) --- Systems, Expert (Computer science) --- Computer systems --- Soft computing --- NLP (Computer science) --- Human-computer interaction --- Semantic computing --- Learning, Machine --- Automatic language processing --- Language and languages --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Applied linguistics --- Cross-language information retrieval --- Mathematical linguistics --- Multilingual computing