Leverage large language models for developing unmatched coding skills, efficient problem-solving, and responsible AI use Key Features Understand the strengths and weaknesses of LLMs to optimize speed and minimize issues Grasp the ethical considerations, biases, and legal aspects of LLM-generated code for responsible AI usage Utilize IDEs and advanced LLM tools to boost coding speed, improve quality, and avoid common pitfalls Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionKeeping 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.What you will learn Utilize LLMs for advanced coding tasks, such as refactoring and optimization Master IDEs and LLM tools to enhance coding speed and quality Identify and avoid common pitfalls in LLM-generated code Understand ethical issues, biases, and legal aspects of LLM usage Explore advanced strategies for code generation, testing, and description Develop practical skills to advance your coding career with LLMs Who this book is forThis book is for experienced coders and new developers aiming to master LLMs, data scientists and machine learning engineers looking for advanced techniques, and AI enthusiasts interested in the ethical and legal aspects of AI. Tech professionals will also find practical insights for innovation and career growth in this book, while AI consultants and tech hobbyists can discover new methods for training and personal projects.

Book Information
ISBN 9781805125051
Author Vincent Hall
Format Paperback
Imprint Packt Publishing Limited
Publisher Packt Publishing Limited