Coding with ChatGPT and other LLMs. Navigate LLMs for effective coding, debugging, and AI-driven development - Helion
Tytuł oryginału: Coding with ChatGPT and other LLMs. Navigate LLMs for effective coding, debugging, and AI-driven development
ISBN: 9781805127963
Format: ebook
Data wydania: 2024-11-01
Księgarnia: Helion
Cena książki: 116,10 zł (poprzednio: 129,00 zł)
Oszczędzasz: 10% (-12,90 zł)
Keeping up with the AI revolution and related developments is not always easy. Written by an AI and ML expert with a PhD in the field, this book will help experienced coders stay ahead and guide new coders in adopting best practices quickly to stay relevant in the tech industry.
You’ll learn to use LLMs such as ChatGPT and Bard to produce efficient, explainable, and sharable code. The chapters focus on integrated development environments (IDEs) and avoiding pitfalls, such as bias and unexplainable code, to boost coding speed and career growth. The book addresses advanced coding applications with LLMs, including refactoring, debugging, and optimization, while examining ethical considerations, biases, and legal implications. You’ll be introduced to LLMs, explore the pitfalls and limitations of LLM-powered coding, discover strategies for making code more explainable and shareable, and explore advanced techniques to maximize the potential of LLMs. You’ll also use cutting-edge tools for code generation, architecting, description, and testing to avoid legal hassles while advancing your career.
By the end of this book, you’ll be well-prepared for future innovations in AI-driven software development by mastering LLMs, and be able to anticipate the future of LLM technology, generate world-improving ideas, and have the power to realize them.
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Spis treści
Coding with ChatGPT and Other LLMs. Navigate LLMs for effective coding, debugging, and AI-driven development eBook -- spis treści
- 1. What is ChatGPT and What are LLMs?
- 2. Unleashing the Power of LLMs for Coding: A Paradigm Shift
- 3. Code Refactoring, Debugging, and Optimization: A Practical Guide
- 4. Demystifying Generated Code for Readability
- 5. Addressing Bias and Ethical Concerns in LLM-Generated Code
- 6. Navigating the Legal Landscape of LLM-Generated Code
- 7. Security Considerations and Measures
- 8. Limitations of Coding with LLMs
- 9. Cultivating Collaboration in LLM-Enhanced Coding
- 10. Expanding the LLM Toolkit for Coders: Beyond LLMs
- 11. Helping Others and Maximizing Your Career with LLMs
- 12. The Future of LLMs in Software Development