Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Developing Apps with GPT-4 and ChatGPT: Build Intelligent Chatbots, Content Generators, and More

Developing Apps with GPT-4 and ChatGPT: Build Intelligent Chatbots, Content Generators, and More

Caelen, Olivier
Blete, Marie-Alice

Paperback

General Computers

Publisher Price: $59.99

ISBN10: 1098168100
ISBN13: 9781098168100
Publisher: O'Reilly Media
Published: Aug 13 2024
Pages: 270
Weight: 0.96
Height: 0.57 Width: 7.00 Depth: 9.19
Language: English

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.

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