Context is necessary for understanding human behavior. However, so far, the concept of context has mostly been treated in a way that lacks any clear relevance for using, developing and engineering intelligent systems. In this book, the author explains the importance of context for understanding human behavior, presents a theory of context, and shows how AI, specifically Large Language Models such as GPT, can support our understanding of context when analyzing human behavior as expressed in texts ranging from conversations to short stories. Drawing on years of R&D and academic publications in top rated journals, the author provides the reader with a simple and deep understanding of context and its modeling for specific challenges, from identifying social norm violations to understanding conversations going awry and stories by great authors.

This book aims to bring together a collection of innovative and cutting-edge research that addresses the various challenges in the application and theoretical aspects of ChatGPT in education. ChatGPT is a large language model developed by OpenAI that has the ability to generate human-like text based on a prompt. This has significant potential for use in the field of education, as it allows for the creation of personalized, interactive learning experiences, automating assessment and grading, and more. In e-learning, ChatGPT is used to provide instant feedback and support to students, as well as generate interactive conversations in the target language for language learning. It is also integrated with existing learning management systems and educational technology platforms to enhance their capabilities. In research, ChatGPT is used for natural language processing and sentiment analysis to gather insights on student learning experiences and educational outcomes. However, it is important to note that there are also ethical and privacy concerns that come with using language models like ChatGPT in education, such as data protection and the potential for bias.

This book explores the transformative potential of ChatGPT, Web3, and their impact on productivity and various industries. It delves into Generative AI (GenAI) and its representative platform ChatGPT, their synergy with Web3, and how they can revolutionize business operations. It covers the potential impact surpassing prior industrial revolutions. After providing an overview of GenAI, ChatGPT, and Web3, it investigates business applications in various industries and areas, such as product management, finance, real estate, gaming, and government, highlighting value creation and operational revolution through their integration. It also explores their impact on content generation, customer service, personalization, and data analysis and examines how the technologies can enhance content quality, customer experiences, sales, revenue, and resource efficiency. Moreover, it addresses security, privacy, and ethics concerns, emphasizing the responsible implementation of ChatGPT and Web3.

In recent times, there has been a growing interest in the capabilities of large language models (LLMs). Prompting techniques give an efficient way to guide the LLM and get better results. The process of designing a prompt that can generate the desired output is iterative. Here, we review different prompting techniques available for solving complex reasoning tasks. It discusses how these techniques affect the accuracy and efficiency of LLMs when they are used to address reasoning tasks. Furthermore, this survey may work as a starting point for individuals who are new to the field of prompting. This work also contains a comparative analysis of the results of different prompting techniques to assess their accuracy.

An insightful exploration of Chat GPT and other advanced AI systems-how we got here, where we're headed, and what it all means for how we interact with the world. In Everything You Always Wanted to Know about ChatGPT, 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, a pioneer in computational approaches to understanding brain function, answers all our urgent questions about this astonishing new technology.

Les intelligences artificielles génératives telles que ChatGPT constituent une révolution pour les professionnels du monde du droit. La puissance de cette technologie et sa facilité d’utilisation sont les bases de cette profonde transformation des activités juridiques. Si ChatGPT a un potentiel considérable pour transformer la pratique et les métiers du droit, une compréhension approfondie de son fonctionnement est essentielle pour en tirer pleinement parti. Il importe d’en connaître les aspects techniques, depuis sa définition, jusqu’à son fonctionnement basé sur des architectures neuronales complexes et des modèles d’apprentissage profond, les données utilisées, mais également les domaines spécifiques d’application tels que la recherche juridique, la rédaction de contrats, d’actes juridiques et judiciaires, de consultations et l’analyse de textes ou de la jurisprudence.

Most scientists are constantly under pressure for reading essential literature, designing new experiments, writing successful proposals and papers, and meeting deadlines. However, imagine that your brain is connected to the entire human knowledge and can extract instantly essential information for discovery. Imagine that research tasks that took days to months can now be done within few seconds. This is not science fiction anymore since the onset of generative artificial intelligence tools such as ChatGPT. This book explains concisely and simply how to use ChatGPT for identifying new results, crafting titles, editing language, interpreting figures, creating visuals, and refining methods. ChatGPT even allows for brainstorming, designing experiments, writing proposals, responding to reviewers, and evaluating research papers. Written for researchers with no background in coding or prompt engineering, this book provides the skills necessary to navigate the changing landscape of scientific research. In particular, you will learn how to leverage ChatGPT's unique capabilities to generate ideas, streamline literature reviews, and craft compelling narratives.

L’ouvrage entend accompagner les juristes, en particulier les avocats, qui songent à intégrer ces outils d’IA dans leur pratique. Après une présentation des notions et du fonctionnement de l’IA générative, ainsi que de ses forces et limites (partie I), l’ouvrage montre à l’aide de nombreux exemples comment l’IA peut être mise au service des juristes (partie II). Un guide des bonnes pratiques dans la composition des prompts et la conversation avec l’IA est proposé. De nombreux autres usages, comme l’analyse, le brainstorming ou la recherche à l’aide de l’IA sont illustrés à partir de cas concrets. Faisant le point sur les obligations déontologiques des avocats face à l’IA, l’ouvrage propose des pistes pour limiter les risques, par exemple en matière de confidentialité et de données personnelles. Dans une partie III, la régulation européenne de l’IA et les grands défis de société posés par l’IA, par exemple en matière environnementale, de désinformation, de protection des créateurs et des données personnelles, sont discutés.

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.

This book explores the revolutionary intersection of Generative AI (GenAI) and cybersecurity. It presents a comprehensive guide that intertwines theories and practices, aiming to equip cybersecurity professionals, CISOs, AI researchers, developers, architects and college students with an understanding of GenAI's profound impacts on cybersecurity. The scope of the book ranges from the foundations of GenAI, including underlying principles, advanced architectures, and cutting-edge research, to specific aspects of GenAI security such as data security, model security, application-level security, and the emerging fields of LLMOps and DevSecOps. It explores AI regulations around the globe, ethical considerations, the threat landscape, and privacy preservation. Further, it assesses the transformative potential of GenAI in reshaping the cybersecurity landscape, the ethical implications of using advanced models, and the innovative strategies required to secure GenAI applications. Lastly, the book presents an in-depth analysis of the security challenges and potential solutions specific to GenAI, and a forward-looking view of how it can redefine cybersecurity practices. By addressing these topics, it provides answers to questions on how to secure GenAI applications, as well as vital support with understanding and navigating the complex and ever-evolving regulatory environments, and how to build a resilient GenAI security program. The book offers actionable insights and hands-on resources for anyone engaged in the rapidly evolving world of GenAI and cybersecurity.