Modern generative AI with ChatGPT and OpenAI models: leverage the capabilities of OpenAI's LLM for productivity and innovation with GPT3 and GPT4
The book begins by introducing the field of Generative AI, which focuses on creating new and unique data or content using machine learning algorithms. It covers the basics of Generative AI models, and explains how these models are trained to generate new data. Next, it focuses on concrete use cases...
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Birmingham
Packt Publishing
2023
|
| Subjects: | |
| Online Access: | DE-Aug4 DE-573 DE-M347 DE-898 DE-91 DE-706 Volltext |
| Summary: | The book begins by introducing the field of Generative AI, which focuses on creating new and unique data or content using machine learning algorithms. It covers the basics of Generative AI models, and explains how these models are trained to generate new data. Next, it focuses on concrete use cases on how ChatGPT can boost productivity and enhance creativity. This section also dwells on how to get the best from your ChatGPT interaction by improving your prompt design and leveraging zero, one and few-shots learning capabilities. The book then continues with a zoom on the above use cases clustered by domains: Marketers, Researchers and Developers/Data Scientists. Each domain will have 4 concrete use cases you can easily replicate on your own. Next, from individual use cases, the book moves towards enterprise-level scenarios that leverage OpenAI models' APIs available on Azure infrastructure. The book will also focuses on end-to-end scenarios of an existing customer story, as well as responsible AI implications. Finally, the book will recap the main elements discussed above, and make some reflections on what's coming next in the field of Generative AI. By the end of this book, you'll have the knowledge to both delve deeper into the Generative AI field and start using ChatGPT and OpenAI models' API in your own projects. |
| Physical Description: | 1 Online-Ressource (xiv, 271 Seiten) |
| ISBN: | 9781805122838 |
Staff View
MARC
| LEADER | 00000nam a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV049424347 | ||
| 003 | DE-604 | ||
| 005 | 20250113 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 231121s2023 xx o|||| 00||| eng d | ||
| 020 | |a 9781805122838 |9 978-1-80512-283-8 | ||
| 035 | |a (ZDB-221-PPK)PACKT0006663 | ||
| 035 | |a (OCoLC)1410710028 | ||
| 035 | |a (DE-599)BVBBV049424347 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-91 |a DE-573 |a DE-Aug4 |a DE-83 |a DE-706 |a DE-898 |a DE-M347 | ||
| 100 | 1 | |a Alto, Valentina |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Modern generative AI with ChatGPT and OpenAI models |b leverage the capabilities of OpenAI's LLM for productivity and innovation with GPT3 and GPT4 |c Valentina Alto |
| 264 | 1 | |a Birmingham |b Packt Publishing |c 2023 | |
| 300 | |a 1 Online-Ressource (xiv, 271 Seiten) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 520 | |a The book begins by introducing the field of Generative AI, which focuses on creating new and unique data or content using machine learning algorithms. It covers the basics of Generative AI models, and explains how these models are trained to generate new data. Next, it focuses on concrete use cases on how ChatGPT can boost productivity and enhance creativity. This section also dwells on how to get the best from your ChatGPT interaction by improving your prompt design and leveraging zero, one and few-shots learning capabilities. The book then continues with a zoom on the above use cases clustered by domains: Marketers, Researchers and Developers/Data Scientists. Each domain will have 4 concrete use cases you can easily replicate on your own. Next, from individual use cases, the book moves towards enterprise-level scenarios that leverage OpenAI models' APIs available on Azure infrastructure. The book will also focuses on end-to-end scenarios of an existing customer story, as well as responsible AI implications. Finally, the book will recap the main elements discussed above, and make some reflections on what's coming next in the field of Generative AI. By the end of this book, you'll have the knowledge to both delve deeper into the Generative AI field and start using ChatGPT and OpenAI models' API in your own projects. | ||
| 650 | 0 | 7 | |a Künstliche Intelligenz |0 (DE-588)4033447-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a ChatGPT |0 (DE-588)1285065492 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Natürlichsprachiges System |0 (DE-588)4284757-6 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a ChatGPT |0 (DE-588)1285065492 |D s |
| 689 | 0 | 1 | |a Natürlichsprachiges System |0 (DE-588)4284757-6 |D s |
| 689 | 0 | 2 | |a Künstliche Intelligenz |0 (DE-588)4033447-8 |D s |
| 689 | 0 | |5 DE-604 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-1-80512-333-0 |
| 856 | 4 | 0 | |u https://portal.igpublish.com/iglibrary/search/PACKT0006663.html |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-30-PQE | ||
| 912 | |a ZDB-4-NLEBK | ||
| 912 | |a ZDB-221-PPK | ||
| 912 | |a ZDB-221-PAI | ||
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-034751789 | |
| 966 | e | |u https://portal.igpublish.com/iglibrary/search/PACKT0006663.html |l DE-Aug4 |p ZDB-221-PAI |q FHA_PDA_PPK_Kauf |x Verlag |3 Volltext | |
| 966 | e | |u https://portal.igpublish.com/iglibrary/search/PACKT0006663.html |l DE-573 |p ZDB-221-PAI |x Verlag |3 Volltext | |
| 966 | e | |u https://ebookcentral.proquest.com/lib/hm-bib/detail.action?docID=30587006 |l DE-M347 |p ZDB-30-PQE |q FHM_Einzelkauf |x Aggregator |3 Volltext | |
| 966 | e | |u https://portal.igpublish.com/iglibrary/search/PACKT0006663.html |l DE-898 |p ZDB-221-PAI |x Verlag |3 Volltext | |
| 966 | e | |u https://portal.igpublish.com/iglibrary/search/PACKT0006663.html |l DE-91 |p ZDB-221-PAI |q TUM_Paketkauf_2024 |x Verlag |3 Volltext | |
| 966 | e | |u https://portal.igpublish.com/iglibrary/search/PACKT0006663.html |l DE-706 |p ZDB-221-PAI |x Verlag |3 Volltext | |
Record in the Search Index
| _version_ | 1821123652916084736 |
|---|---|
| adam_text | |
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Alto, Valentina |
| author_facet | Alto, Valentina |
| author_role | aut |
| author_sort | Alto, Valentina |
| author_variant | v a va |
| building | Verbundindex |
| bvnumber | BV049424347 |
| collection | ZDB-30-PQE ZDB-4-NLEBK ZDB-221-PPK ZDB-221-PAI |
| ctrlnum | (ZDB-221-PPK)PACKT0006663 (OCoLC)1410710028 (DE-599)BVBBV049424347 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000zc 4500</leader><controlfield tag="001">BV049424347</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20250113</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">231121s2023 xx o|||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781805122838</subfield><subfield code="9">978-1-80512-283-8</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-221-PPK)PACKT0006663</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1410710028</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV049424347</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield><subfield code="a">DE-573</subfield><subfield code="a">DE-Aug4</subfield><subfield code="a">DE-83</subfield><subfield code="a">DE-706</subfield><subfield code="a">DE-898</subfield><subfield code="a">DE-M347</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Alto, Valentina</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Modern generative AI with ChatGPT and OpenAI models</subfield><subfield code="b">leverage the capabilities of OpenAI's LLM for productivity and innovation with GPT3 and GPT4</subfield><subfield code="c">Valentina Alto</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham</subfield><subfield code="b">Packt Publishing</subfield><subfield code="c">2023</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xiv, 271 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The book begins by introducing the field of Generative AI, which focuses on creating new and unique data or content using machine learning algorithms. It covers the basics of Generative AI models, and explains how these models are trained to generate new data. Next, it focuses on concrete use cases on how ChatGPT can boost productivity and enhance creativity. This section also dwells on how to get the best from your ChatGPT interaction by improving your prompt design and leveraging zero, one and few-shots learning capabilities. The book then continues with a zoom on the above use cases clustered by domains: Marketers, Researchers and Developers/Data Scientists. Each domain will have 4 concrete use cases you can easily replicate on your own. Next, from individual use cases, the book moves towards enterprise-level scenarios that leverage OpenAI models' APIs available on Azure infrastructure. The book will also focuses on end-to-end scenarios of an existing customer story, as well as responsible AI implications. Finally, the book will recap the main elements discussed above, and make some reflections on what's coming next in the field of Generative AI. By the end of this book, you'll have the knowledge to both delve deeper into the Generative AI field and start using ChatGPT and OpenAI models' API in your own projects.</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Künstliche Intelligenz</subfield><subfield code="0">(DE-588)4033447-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">ChatGPT</subfield><subfield code="0">(DE-588)1285065492</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Natürlichsprachiges System</subfield><subfield code="0">(DE-588)4284757-6</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">ChatGPT</subfield><subfield code="0">(DE-588)1285065492</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Natürlichsprachiges System</subfield><subfield code="0">(DE-588)4284757-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Künstliche Intelligenz</subfield><subfield code="0">(DE-588)4033447-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</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">978-1-80512-333-0</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://portal.igpublish.com/iglibrary/search/PACKT0006663.html</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-PQE</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-4-NLEBK</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-221-PPK</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-221-PAI</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-034751789</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://portal.igpublish.com/iglibrary/search/PACKT0006663.html</subfield><subfield code="l">DE-Aug4</subfield><subfield code="p">ZDB-221-PAI</subfield><subfield code="q">FHA_PDA_PPK_Kauf</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://portal.igpublish.com/iglibrary/search/PACKT0006663.html</subfield><subfield code="l">DE-573</subfield><subfield code="p">ZDB-221-PAI</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://ebookcentral.proquest.com/lib/hm-bib/detail.action?docID=30587006</subfield><subfield code="l">DE-M347</subfield><subfield code="p">ZDB-30-PQE</subfield><subfield code="q">FHM_Einzelkauf</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://portal.igpublish.com/iglibrary/search/PACKT0006663.html</subfield><subfield code="l">DE-898</subfield><subfield code="p">ZDB-221-PAI</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://portal.igpublish.com/iglibrary/search/PACKT0006663.html</subfield><subfield code="l">DE-91</subfield><subfield code="p">ZDB-221-PAI</subfield><subfield code="q">TUM_Paketkauf_2024</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://portal.igpublish.com/iglibrary/search/PACKT0006663.html</subfield><subfield code="l">DE-706</subfield><subfield code="p">ZDB-221-PAI</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV049424347 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T23:08:33Z |
| indexdate | 2025-01-13T09:00:54Z |
| institution | BVB |
| isbn | 9781805122838 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034751789 |
| oclc_num | 1410710028 |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM DE-573 DE-Aug4 DE-83 DE-706 DE-898 DE-BY-UBR DE-M347 |
| owner_facet | DE-91 DE-BY-TUM DE-573 DE-Aug4 DE-83 DE-706 DE-898 DE-BY-UBR DE-M347 |
| physical | 1 Online-Ressource (xiv, 271 Seiten) |
| psigel | ZDB-30-PQE ZDB-4-NLEBK ZDB-221-PPK ZDB-221-PAI ZDB-221-PAI FHA_PDA_PPK_Kauf ZDB-30-PQE FHM_Einzelkauf ZDB-221-PAI TUM_Paketkauf_2024 |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Packt Publishing |
| record_format | marc |
| spelling | Alto, Valentina Verfasser aut Modern generative AI with ChatGPT and OpenAI models leverage the capabilities of OpenAI's LLM for productivity and innovation with GPT3 and GPT4 Valentina Alto Birmingham Packt Publishing 2023 1 Online-Ressource (xiv, 271 Seiten) txt rdacontent c rdamedia cr rdacarrier The book begins by introducing the field of Generative AI, which focuses on creating new and unique data or content using machine learning algorithms. It covers the basics of Generative AI models, and explains how these models are trained to generate new data. Next, it focuses on concrete use cases on how ChatGPT can boost productivity and enhance creativity. This section also dwells on how to get the best from your ChatGPT interaction by improving your prompt design and leveraging zero, one and few-shots learning capabilities. The book then continues with a zoom on the above use cases clustered by domains: Marketers, Researchers and Developers/Data Scientists. Each domain will have 4 concrete use cases you can easily replicate on your own. Next, from individual use cases, the book moves towards enterprise-level scenarios that leverage OpenAI models' APIs available on Azure infrastructure. The book will also focuses on end-to-end scenarios of an existing customer story, as well as responsible AI implications. Finally, the book will recap the main elements discussed above, and make some reflections on what's coming next in the field of Generative AI. By the end of this book, you'll have the knowledge to both delve deeper into the Generative AI field and start using ChatGPT and OpenAI models' API in your own projects. Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf ChatGPT (DE-588)1285065492 gnd rswk-swf Natürlichsprachiges System (DE-588)4284757-6 gnd rswk-swf ChatGPT (DE-588)1285065492 s Natürlichsprachiges System (DE-588)4284757-6 s Künstliche Intelligenz (DE-588)4033447-8 s DE-604 Erscheint auch als Druck-Ausgabe 978-1-80512-333-0 https://portal.igpublish.com/iglibrary/search/PACKT0006663.html Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Alto, Valentina Modern generative AI with ChatGPT and OpenAI models leverage the capabilities of OpenAI's LLM for productivity and innovation with GPT3 and GPT4 Künstliche Intelligenz (DE-588)4033447-8 gnd ChatGPT (DE-588)1285065492 gnd Natürlichsprachiges System (DE-588)4284757-6 gnd |
| subject_GND | (DE-588)4033447-8 (DE-588)1285065492 (DE-588)4284757-6 |
| title | Modern generative AI with ChatGPT and OpenAI models leverage the capabilities of OpenAI's LLM for productivity and innovation with GPT3 and GPT4 |
| title_auth | Modern generative AI with ChatGPT and OpenAI models leverage the capabilities of OpenAI's LLM for productivity and innovation with GPT3 and GPT4 |
| title_exact_search | Modern generative AI with ChatGPT and OpenAI models leverage the capabilities of OpenAI's LLM for productivity and innovation with GPT3 and GPT4 |
| title_exact_search_txtP | Modern generative AI with ChatGPT and OpenAI models leverage the capabilities of OpenAI's LLM for productivity and innovation with GPT3 and GPT4 |
| title_full | Modern generative AI with ChatGPT and OpenAI models leverage the capabilities of OpenAI's LLM for productivity and innovation with GPT3 and GPT4 Valentina Alto |
| title_fullStr | Modern generative AI with ChatGPT and OpenAI models leverage the capabilities of OpenAI's LLM for productivity and innovation with GPT3 and GPT4 Valentina Alto |
| title_full_unstemmed | Modern generative AI with ChatGPT and OpenAI models leverage the capabilities of OpenAI's LLM for productivity and innovation with GPT3 and GPT4 Valentina Alto |
| title_short | Modern generative AI with ChatGPT and OpenAI models |
| title_sort | modern generative ai with chatgpt and openai models leverage the capabilities of openai s llm for productivity and innovation with gpt3 and gpt4 |
| title_sub | leverage the capabilities of OpenAI's LLM for productivity and innovation with GPT3 and GPT4 |
| topic | Künstliche Intelligenz (DE-588)4033447-8 gnd ChatGPT (DE-588)1285065492 gnd Natürlichsprachiges System (DE-588)4284757-6 gnd |
| topic_facet | Künstliche Intelligenz ChatGPT Natürlichsprachiges System |
| url | https://portal.igpublish.com/iglibrary/search/PACKT0006663.html |
| work_keys_str_mv | AT altovalentina moderngenerativeaiwithchatgptandopenaimodelsleveragethecapabilitiesofopenaisllmforproductivityandinnovationwithgpt3andgpt4 |