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Developing Apps with GPT-4 and ChatGPT
Developing Apps with GPT-4 and ChatGPT
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This book is a guide for Python developers who want to learn how to build applications with large language models. The book covers the basics of GPT-4 and ChatGPT, how they work, and their main features and benefits. It also provides a step-by-step guide for developing applications using the GPT-4 and ChatGPT APIs. This includes text generation, Q&A, and content summarization tools. The book is written in clear and concise language, with easy-to-follow examples that help readers understand and…
  • Leidėjas:
  • ISBN-10: 1098168100
  • ISBN-13: 9781098168100
  • Formatas: 17.8 x 23.3 x 1.5 cm, minkšti viršeliai
  • Kalba: Anglų

Developing Apps with GPT-4 and ChatGPT (el. knyga) (skaityta knyga) | knygos.lt

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This book is a guide for Python developers who want to learn how to build applications with large language models. The book covers the basics of GPT-4 and ChatGPT, how they work, and their main features and benefits. It also provides a step-by-step guide for developing applications using the GPT-4 and ChatGPT APIs. This includes text generation, Q&A, and content summarization tools. The book is written in clear and concise language, with easy-to-follow examples that help readers understand and apply the concepts to their projects. All Python code examples are available in a GitHub repository. In addition, a glossary includes key terms related to large language models to help readers less familiar with the field better understand the book's content. Python developers who want to quickly harness the power of large language models in their applications won't want to miss this must-read book.

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  • Autorius: Olivier Caelen
  • Leidėjas:
  • ISBN-10: 1098168100
  • ISBN-13: 9781098168100
  • Formatas: 17.8 x 23.3 x 1.5 cm, minkšti viršeliai
  • Kalba: Anglų

This book is a guide for Python developers who want to learn how to build applications with large language models. The book covers the basics of GPT-4 and ChatGPT, how they work, and their main features and benefits. It also provides a step-by-step guide for developing applications using the GPT-4 and ChatGPT APIs. This includes text generation, Q&A, and content summarization tools. The book is written in clear and concise language, with easy-to-follow examples that help readers understand and apply the concepts to their projects. All Python code examples are available in a GitHub repository. In addition, a glossary includes key terms related to large language models to help readers less familiar with the field better understand the book's content. Python developers who want to quickly harness the power of large language models in their applications won't want to miss this must-read book.

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