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024 7 _a10.1007/979-8-8688-0110-5
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100 1 _aMcTear, Michael.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_971705
245 1 0 _aTransforming Conversational AI
_h[electronic resource] :
_bExploring the Power of Large Language Models in Interactive Conversational Agents /
_cby Michael McTear, Marina Ashurkina.
250 _a1st ed. 2024.
264 1 _aBerkeley, CA :
_bApress :
_bImprint: Apress,
_c2024.
300 _aXIII, 228 p. 106 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aChapter 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.
520 _aAcquire 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.
650 0 _aTechnological innovations.
_959244
650 0 _aProject management.
_961110
650 0 _aArtificial intelligence.
_958441
650 0 _aQuantitative research.
650 0 _aBig data.
_957216
650 0 _aEngineering
_xData processing.
650 1 4 _aInnovation and Technology Management.
_966187
650 2 4 _aProject Management.
_961110
650 2 4 _aArtificial Intelligence.
_958441
650 2 4 _aData Analysis and Big Data.
650 2 4 _aBig Data.
_957216
650 2 4 _aData Engineering.
_966059
700 1 _aAshurkina, Marina.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_971706
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9798868801099
776 0 8 _iPrinted edition:
_z9798868801112
776 0 8 _iPrinted edition:
_z9798868807558
856 4 0 _uhttps://doi.org/10.1007/979-8-8688-0110-5
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