Название: Developing Apps with GPT-4 and ChatGPT: Build Intelligent Chatbots, Content Generators, and MoreАвтор: Olivier Caelen, Marie-Alice Blete
Издательство: O’Reilly Media, Inc.
Год: 2023
Страниц: 160
Язык: английский
Формат: pdf (true), epub (true)
Размер: 11.8 MB
This minibook 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.
As LLMs, GPT-4 and ChatGPT are the latest type of model obtained in the field of NLP, which is itself a subfield of Machine Learning (ML) and AI. Before delving into GPT-4 and ChatGPT, it is essential to take a look at NLP and its related fields. There are different definitions of AI, but one of them, more or less the consensus, says that AI is the development of computer systems that can perform tasks that typically require human intelligence. With this definition, many algorithms fall under the AI umbrella. Consider, for example, the traffic prediction task in GPS applications or the rule-based systems used in strategic video games. In these examples, seen from the outside, the machine seems to require intelligence to accomplish these tasks. ML is a subset of AI. In ML, we do not try to directly implement the decision rules used by the AI system. Instead, we try to develop algorithms that allow the system to learn by itself from examples. Among them, deep learning algorithms have come to the fore. Deep Learning is a branch of ML that focuses on algorithms inspired by the structure of the brain. These algorithms are called artificial neural networks. They can handle very large amounts of data and perform very well on tasks such as image and speech recognition and NLP.
GPT-4 and ChatGPT are based on a particular type of Deep Learning algorithm called transformers. Transformers are like reading machines. They pay attention to different parts of a sentence or block of text to understand its context and produce a coherent response. They can also understand the order of words in a sentence and their context. This makes them highly effective at tasks such as language translation, question answering, and text generation.
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 answering, and content summarization, among other tasks
• Advanced GPT topics including prompt engineering, fine-tuning models for specific tasks, plug-ins, LangChain, and more
This book is designed to be accessible to all, but some basic Python knowledge is preferred. Through clear explanations, example projects, and step-by-step instructions, we invite you to discover with us how GPT-4 and ChatGPT can transform the way we interact with machines.
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