Transforming conversational AI: exploring the power of large language models in interactive conversational agents
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...
Gespeichert in:
Beteiligte Personen: | , |
---|---|
Format: | Elektronisch E-Book |
Sprache: | Englisch |
Veröffentlicht: |
[Berkeley, CA]
Apress
2024
|
Schlagwörter: | |
Links: | https://learning.oreilly.com/library/view/-/9798868801105/?ar |
Zusammenfassung: | 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. |
Beschreibung: | Online resource; title from PDF title page (SpringerLink, viewed March 6, 2024) |
Umfang: | 1 Online-Ressource (xv, 228 Seiten) illustrations |
ISBN: | 9798868801105 |
Internformat
MARC
LEADER | 00000nam a22000002 4500 | ||
---|---|---|---|
001 | ZDB-30-ORH-102206651 | ||
003 | DE-627-1 | ||
005 | 20240404083422.0 | ||
007 | cr uuu---uuuuu | ||
008 | 240404s2024 xx |||||o 00| ||eng c | ||
020 | |a 9798868801105 |c electronic bk. |9 979-8-8688-0110-5 | ||
035 | |a (DE-627-1)102206651 | ||
035 | |a (DE-599)KEP102206651 | ||
035 | |a (ORHE)9798868801105 | ||
035 | |a (DE-627-1)102206651 | ||
040 | |a DE-627 |b ger |c DE-627 |e rda | ||
041 | |a eng | ||
072 | 7 | |a KJD |2 bicssc | |
072 | 7 | |a BUS042000 |2 bisacsh | |
082 | 0 | |a 006.3 |2 23/eng/20240313 | |
100 | 1 | |a McTear, Michael |e VerfasserIn |4 aut | |
245 | 1 | 0 | |a Transforming conversational AI |b exploring the power of large language models in interactive conversational agents |c Michael McTear, Marina Ashurkina |
264 | 1 | |a [Berkeley, CA] |b Apress |c 2024 | |
300 | |a 1 Online-Ressource (xv, 228 Seiten) |b illustrations | ||
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
500 | |a Online resource; title from PDF title page (SpringerLink, viewed March 6, 2024) | ||
520 | |a 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. | ||
650 | 0 | |a Artificial intelligence | |
650 | 0 | |a Chatbots | |
650 | 0 | |a Artificial intelligence |x Moral and ethical aspects | |
650 | 4 | |a Intelligence artificielle | |
650 | 4 | |a Intelligence artificielle ; Aspect moral | |
650 | 4 | |a artificial intelligence | |
700 | 1 | |a Ashurkina, Marina |e VerfasserIn |4 aut | |
776 | 1 | |z 9798868801099 | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9798868801099 |
966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9798868801105/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
912 | |a ZDB-30-ORH | ||
951 | |a BO | ||
912 | |a ZDB-30-ORH | ||
049 | |a DE-91 |
Datensatz im Suchindex
DE-BY-TUM_katkey | ZDB-30-ORH-102206651 |
---|---|
_version_ | 1821494933968650240 |
adam_text | |
any_adam_object | |
author | McTear, Michael Ashurkina, Marina |
author_facet | McTear, Michael Ashurkina, Marina |
author_role | aut aut |
author_sort | McTear, Michael |
author_variant | m m mm m a ma |
building | Verbundindex |
bvnumber | localTUM |
collection | ZDB-30-ORH |
ctrlnum | (DE-627-1)102206651 (DE-599)KEP102206651 (ORHE)9798868801105 |
dewey-full | 006.3 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.3 |
dewey-search | 006.3 |
dewey-sort | 16.3 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03592nam a22004572 4500</leader><controlfield tag="001">ZDB-30-ORH-102206651</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240404083422.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">240404s2024 xx |||||o 00| ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9798868801105</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">979-8-8688-0110-5</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)102206651</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP102206651</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9798868801105</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)102206651</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">KJD</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">BUS042000</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.3</subfield><subfield code="2">23/eng/20240313</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">McTear, Michael</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Transforming conversational AI</subfield><subfield code="b">exploring the power of large language models in interactive conversational agents</subfield><subfield code="c">Michael McTear, Marina Ashurkina</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">[Berkeley, CA]</subfield><subfield code="b">Apress</subfield><subfield code="c">2024</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xv, 228 Seiten)</subfield><subfield code="b">illustrations</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Online resource; title from PDF title page (SpringerLink, viewed March 6, 2024)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">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.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Chatbots</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Artificial intelligence</subfield><subfield code="x">Moral and ethical aspects</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Intelligence artificielle</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Intelligence artificielle ; Aspect moral</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">artificial intelligence</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ashurkina, Marina</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="776" ind1="1" ind2=" "><subfield code="z">9798868801099</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9798868801099</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9798868801105/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
id | ZDB-30-ORH-102206651 |
illustrated | Illustrated |
indexdate | 2025-01-17T11:22:15Z |
institution | BVB |
isbn | 9798868801105 |
language | English |
open_access_boolean | |
owner | DE-91 DE-BY-TUM |
owner_facet | DE-91 DE-BY-TUM |
physical | 1 Online-Ressource (xv, 228 Seiten) illustrations |
psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
publishDate | 2024 |
publishDateSearch | 2024 |
publishDateSort | 2024 |
publisher | Apress |
record_format | marc |
spelling | McTear, Michael VerfasserIn aut Transforming conversational AI exploring the power of large language models in interactive conversational agents Michael McTear, Marina Ashurkina [Berkeley, CA] Apress 2024 1 Online-Ressource (xv, 228 Seiten) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Online resource; title from PDF title page (SpringerLink, viewed March 6, 2024) 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 Artificial intelligence Moral and ethical aspects Intelligence artificielle Intelligence artificielle ; Aspect moral artificial intelligence Ashurkina, Marina VerfasserIn aut 9798868801099 Erscheint auch als Druck-Ausgabe 9798868801099 |
spellingShingle | McTear, Michael Ashurkina, Marina Transforming conversational AI exploring the power of large language models in interactive conversational agents Artificial intelligence Chatbots Artificial intelligence Moral and ethical aspects Intelligence artificielle Intelligence artificielle ; Aspect moral artificial intelligence |
title | Transforming conversational AI exploring the power of large language models in interactive conversational agents |
title_auth | Transforming conversational AI exploring the power of large language models in interactive conversational agents |
title_exact_search | Transforming conversational AI exploring the power of large language models in interactive conversational agents |
title_full | Transforming conversational AI exploring the power of large language models in interactive conversational agents Michael McTear, Marina Ashurkina |
title_fullStr | Transforming conversational AI exploring the power of large language models in interactive conversational agents Michael McTear, Marina Ashurkina |
title_full_unstemmed | Transforming conversational AI exploring the power of large language models in interactive conversational agents Michael McTear, Marina Ashurkina |
title_short | Transforming conversational AI |
title_sort | transforming conversational ai exploring the power of large language models in interactive conversational agents |
title_sub | exploring the power of large language models in interactive conversational agents |
topic | Artificial intelligence Chatbots Artificial intelligence Moral and ethical aspects Intelligence artificielle Intelligence artificielle ; Aspect moral artificial intelligence |
topic_facet | Artificial intelligence Chatbots Artificial intelligence Moral and ethical aspects Intelligence artificielle Intelligence artificielle ; Aspect moral artificial intelligence |
work_keys_str_mv | AT mctearmichael transformingconversationalaiexploringthepoweroflargelanguagemodelsininteractiveconversationalagents AT ashurkinamarina transformingconversationalaiexploringthepoweroflargelanguagemodelsininteractiveconversationalagents |