Articles liés à Developing Apps With Gpt-4 and Chatgpt: Build Intelligent...

Developing Apps With Gpt-4 and Chatgpt: Build Intelligent Chatbots, Content Generators, and More - Couverture souple

Caelen, Olivier; Blete, Marie-Alice

 
9781098168100: Developing Apps With Gpt-4 and Chatgpt: Build Intelligent Chatbots, Content Generators, and More
Couverture souple
ISBN 10 : 1098168100 ISBN 13 : 9781098168100
Editeur : O'Reilly Media, 2024

Synopsis

This book provides an ideal guide for Python developers who want to learn how to build applications with large language models. Authors Olivier Caelen and Marie-Alice Blete cover the main features and benefits of GPT-4 and GPT-3.5 models and explain how they work. You'll also get a step-by-step guide for developing applications using the OpenAI Python library, including text generation, Q&A, and smart assistants.

Written in clear and concise language, Developing Apps with GPT-4 and ChatGPT includes easy-to-follow examples to help you understand and apply the concepts to your projects. Python code examples are available in a GitHub repository, and the book includes a glossary of key terms. Ready to harness the power of large language models in your applications? This book is a must.

You'll learn:

  • Fundamentals and benefits of GPT-4 and GPT-3.5 models, including the main features and how they work
  • How to integrate these models into Python-based applications, leveraging natural language processing capabilities and overcoming specific LLM-related challenges
  • Examples of applications demonstrating the OpenAI API in Python for tasks including text generation, question answering, content summarization, classification, and more
  • Advanced LLM topics such as prompt engineering, fine-tuning models for specific tasks, RAG, plug-ins, LangChain, LlamaIndex, GPTs, and assistants

Olivier Caelen is a machine learning researcher at Worldline and teaches machine learning courses at the University of Brussels.

Marie-Alice Blete, a software architect and data engineer in Worldline's R&D department, is interested in performance and latency issues associated with AI solutions.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos des auteurs

Olivier Caelen is a machine learning researcher at Worldline, a paytech pioneer for seamless payment solutions. He also teaches an introductory ML course and an advanced DL course at the university (UniversitÃ(c) libre de Bruxelles). He holds two master's degrees (in statistics and computer science) and a Ph.D. in machine learning. Olivier Caelen is co-author of 45 publications in international peer-reviewed scientific journals/conferences and co-inventor of 6 patents.

Marie-Alice Blete currently works at Worldline's R&D department as a software architect and data engineer. She preaches engineering best practices to her fellow Data Scientists colleagues and is particularly interested in the performance and latency issues associated with the deployment of AI solutions. She is also a developer advocate and enjoys sharing her knowledge and engaging with the community as a tech speaker.

À propos de la quatrième de couverture

This book provides an ideal guide for Python developers who want to learn how to build applications with large language models. Authors Olivier Caelen and Marie-Alice Blete cover the main features and benefits of GPT-4 and GPT-3.5 models and explain how they work. You'll also get a step-by-step guide for developing applications using the OpenAI Python library, including text generation, Q&A, and smart assistants.

Written in clear and concise language, Developing Apps with GPT-4 and ChatGPT includes easy-to-follow examples to help you understand and apply the concepts to your projects. Python code examples are available in a GitHub repository, and the book includes a glossary of key terms. Ready to harness the power of large language models in your applications? This book is a must.

You'll learn:

  • Fundamentals and benefits of GPT-4 and GPT-3.5 models, including the main features and how they work
  • How to integrate these models into Python-based applications, leveraging natural language processing capabilities and overcoming specific LLM-related challenges
  • Examples of applications demonstrating the OpenAI API in Python for tasks including text generation, question answering, content summarization, classification, and more
  • Advanced LLM topics such as prompt engineering, fine-tuning models for specific tasks, RAG, plug-ins, LangChain, LlamaIndex, GPTs, and assistants

Olivier Caelen is a machine learning researcher at Worldline and teaches machine learning courses at the University of Brussels.

Marie-Alice Blete, a software architect and data engineer in Worldline's R&D department, is interested in performance and latency issues associated with AI solutions.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
O'Reilly Media
Date d'édition
2024
Langue
anglais
ISBN 10 
1098168100
ISBN 13 
9781098168100
Reliure
Broché
Numéro d'édition
2
Nombre de pages
270
Coordonnées du fabricant
O'Reilly
https://oreilly.com

1005 Gravenstein Highway North
Sebastopol
CA
95472
Etats-Unis
Personne responsable
gpsr@libri.de
gpsr@libri.de

Europaallee 1
Bad Hersfeld
36244
Allemagne