Generative AI for developers

• Titel: Generative AI for developers
• Titelzusatz: creating apps with the ChatGPT API
• Mitwirkende: Taulli, Tom [MitwirkendeR]
• Institutionen: O'Reilly (Firm), [Verlag]
• Ausgabe: [First edition].
• Verlagsort: [Sebastopol, California]
• Verlag: O'Reilly Media, Inc.
• E-Jahr: 2024
• Jahr: [2024]
• Umfang: 1 online resource (1 video file (1 hr., 21 min.))
• Illustrationen: sound, color.
• Fussnoten: "Update fall 2024.". - Online resource; title from title details screen (O’Reilly, viewed November 18, 2024)
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Instructional films
• Sach-SW: Nonfiction films
• Sach-SW: Internet videos
• K10plus-PPN: 1910495611
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m462954044X
• Lokale URL Inst.: Zum Volltext

Abstract

The OpenAI API has emerged as the go-to solution for developers looking to create cutting-edge generative AI applications. As companies across industries rush to integrate generative AI into their products and services, the OpenAI API stands out as the most comprehensive and accessible tool for harnessing this transformative technology. For many developers, mastering the OpenAI API has become essential to staying competitive in the fast-paced world of AI-driven innovation. This course covers the fundamentals of generative AI and practical applications using the OpenAI API. You'll start by exploring key concepts such as large language models (LLMs), transformer architectures, and the various use cases and potential risks of generative AI. The course then dives into the OpenAI API, covering different model types, the OpenAI Playground, API setup and configuration, pricing structures, and effective prompt engineering techniques. You'll learn the development process for working with LLMs and how to make API calls. The practical portion of the course demonstrates how to build a variety of AI-powered applications, including sentiment analysis tools, chat applications, blog creators, speech recognition systems, image generators, and more. Advanced topics include working with vision, function calling, and text embeddings. The course concludes by introducing Retrieval-Augmented Generation (RAG) and LangChain, guiding you through the creation of applications like a storytelling app and an HR document reader that leverage these advanced techniques alongside the OpenAI API.