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About Generative AI Tools for Developers
Artificial Intelligence (AI) has been in the spotlight for a while now, and it’s dividing opinions across the world. While some are enthusiastic about the advances in AI and welcome it, others have raised concerns surrounding job security, ethics, and privacy of users’ data–all of which are valid concerns. Artificial Intelligence is by no means a new topic or area of tech, but developers have spent years trying to improve on the technology and introduce new tools that are powered by AI. In this book, we’ll look at some of the applications of AI we’re seeing today, and how AI can be a very useful tool in our day-to-day work as engineers. Innovations in AI have introduced some obvious benefits, such as efficiency and increased productivity. A nice example is GitHub Copilot, an AI-powered, peer-coding partner that helps engineers improve their standard practices, write better tests, and be more productive. A large language model (LLM) is a computerized language model that can perform a variety of natural language processing tasks, including generating and classifying text, answering questions in a human-like fashion, and translating text from one language to another. It’s trained on a massive trove of articles, Wikipedia entries, books, internet-based resources and other input, so it can learn how to generate responses based on data from these sources. ChatGPT was trained on a vast amount of text data and code, including programming languages, code snippets, documentation, and discussions on platforms like GitHub and Stack Overflow. This makes it possible for it to understand and write code in several languages. This book is for developers who are interested in using AI tools professionally. It doesn’t assume any existing familiarity with AI tools.
Detailed Information
| Author: | Timi Omoyeni |
|---|---|
| Language: | English |
| File Size: | 4.3 |
| Format: | |
| Price: | FREE |
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