Exploring the Power of Large Language Models in Interactive Conversational Agents McTear, Michael. creator author. aut http://id.loc.gov/vocabulary/relators/aut Ashurkina, Marina. author. aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) text xxu 2024 1st ed. 2024. monographic eng

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electronic resource

access XIII, 228 p. 106 illus. online resource. 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. Chapter 1: A new era in Conversational AI -- Chapter 2: Designing conversational systems -- Chapter 3: The Rise of Neural Conversational Systems -- Chapter 4: Large Language Models -- Chapter 5: Introduction to Prompt Engineering -- Chapter 6: Advanced Prompt Engineering -- Chapter 7: Conversational AI Platforms -- Chapter 8: Evaluation Metrics -- Chapter 9: AI Safety and Ethics -- Chapter 10: Final Words. by Michael McTear, Marina Ashurkina. Technological innovations Project management Artificial intelligence Quantitative research Big data Engineering Data processing Innovation and Technology Management Project Management Artificial Intelligence Data Analysis and Big Data Big Data Data Engineering HD45 9798868801105 https://doi.org/10.1007/979-8-8688-0110-5 https://doi.org/10.1007/979-8-8688-0110-5 240224 20251030111443.0 979-8-8688-0110-5