Olivier Caelen: Developing Apps with GPT-4 and ChatGPT
Developing Apps with GPT-4 and ChatGPT
Buch
- Build Intelligent Chatbots, Content Generators, and More
Artikel noch nicht erschienen, voraussichtlicher Liefertermin ist der 30.9.2024.
Sie können den Titel schon jetzt bestellen. Versand an Sie erfolgt gleich nach Verfügbarkeit.
Sie können den Titel schon jetzt bestellen. Versand an Sie erfolgt gleich nach Verfügbarkeit.
EUR 55,60*
- O'Reilly Media, 09/2024
- Einband: Kartoniert / Broschiert
- Sprache: Englisch
- ISBN-13: 9781098168100
- Bestellnummer: 11780137
- Nummer der Auflage: 24002
- Auflage: 2nd Edition
- Gewicht: 482 g
- Maße: 229 x 174 mm
- Stärke: 15 mm
- Erscheinungstermin: 30.9.2024
Achtung: Artikel ist nicht in deutscher Sprache!
Klappentext
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.