作者简介

About the Author
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 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 42 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 leading a program on AI-augmented developers.

内容简介

This mini-book is a comprehensive 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 ChatGPT and explain how they work. You'll also get a step-by-step guide for developing applications using the GPT-4 and ChatGPT Python library, including text generation, Q&A, and content summarization tools.

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:

The fundamentals and benefits of ChatGPT and GPT-4 and how they work

How to integrate these models into Python-based applications for NLP tasks

How to develop applications using GPT-4 or ChatGPT APIs in Python for text generation, question-and-answer, and content summarization, among other tasks

Advanced GPT topics, including prompt engineering, fine-tuning models for specific tasks, plug-ins, and more


About the Author

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 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 42 publications ...

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豆瓣评论

  • Momo
    good introduction09-05
  • 络绎很无聊地
    第一章的内容最好,后面两章就是openai文档详述了。如果这书的作者是chatGPT可能蹭热度会蹭得更好,但正如作者所说,GenAI广泛应用的一种主要阻碍就是它会对自己瞎编的事实持有非常肯定的语气,所以需要人类去验证,从需要人类事前打标签,到需要人类事后验证准确度,模型对人类的依赖程度越低越靠后,离科幻世界就越近吧。第一章介绍的几个案例还算实际而新颖,最近手里的几个真的太无聊了。07-24
  • 空心菜菜子
    讲LLM起源及局限性那部分挺好的,甚至讲了prompt撰写技巧。后面大半本书就在水字数…12-20
  • 桃花岛岛主
    快速翻了一遍,前面对LLM的介绍浅显易懂挺好读的,后面就是使用GPT4和ChatGPT的各种API调用示例了,插件和LangChain框架对LLM能力的发挥提供了非常好的应用开发基础,AI不断发展,LLM也只是一个开始12-06
  • Guapo
    里面整理得蛮好,挺多不同行业应用例子,很有启发。就是有些地方太废话了,playground那些完全可以自己摸索用不着四五张纸都在讲。随便翻翻就好09-13

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