Gpt 4 For Developers
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Large Language Models For Developers
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Author : Oswald Campesato
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2024-12-26
Large Language Models For Developers written by Oswald Campesato and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-26 with Computers categories.
This book offers a thorough exploration of Large Language Models (LLMs), guiding developers through the evolving landscape of generative AI and equipping them with the skills to utilize LLMs in practical applications. Designed for developers with a foundational understanding of machine learning, this book covers essential topics such as prompt engineering techniques, fine-tuning methods, attention mechanisms, and quantization strategies to optimize and deploy LLMs. Beginning with an introduction to generative AI, the book explains distinctions between conversational AI and generative models like GPT-4 and BERT, laying the groundwork for prompt engineering (Chapters 2 and 3). Some of the LLMs that are used for generating completions to prompts include Llama-3.1 405B, Llama 3, GPT-4o, Claude 3, Google Gemini, and Meta AI. Readers learn the art of creating effective prompts, covering advanced methods like Chain of Thought (CoT) and Tree of Thought prompts. As the book progresses, it details fine-tuning techniques (Chapters 5 and 6), demonstrating how to customize LLMs for specific tasks through methods like LoRA and QLoRA, and includes Python code samples for hands-on learning. Readers are also introduced to the transformer architecture’s attention mechanism (Chapter 8), with step-by-step guidance on implementing self-attention layers. For developers aiming to optimize LLM performance, the book concludes with quantization techniques (Chapters 9 and 10), exploring strategies like dynamic quantization and probabilistic quantization, which help reduce model size without sacrificing performance. FEATURES • Covers the full lifecycle of working with LLMs, from model selection to deployment • Includes code samples using practical Python code for implementing prompt engineering, fine-tuning, and quantization • Teaches readers to enhance model efficiency with advanced optimization techniques • Includes companion files with code and images -- available from the publisher
Ai Powered Developer
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Author : Nathan Crocker
language : en
Publisher: Simon and Schuster
Release Date : 2024-10-01
Ai Powered Developer written by Nathan Crocker and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-01 with Computers categories.
Use groundbreaking generative AI tools to increase your productivity, efficiency, and code quality. AI coding tools like ChatGPT and GitHub Copilot are changing the way we write code and build software. AI-Powered Developer reveals the practical best practices you need to deliver reliable results with AI. It cuts through the hype, showcasing real-world examples of how these tools ease and enhance your everyday tasks, and make you more creative. In AI-Powered Developer you’ll discover how to get the most out of AI: • Harness AI to help you design and plan software • Use AI for code generation, debugging, and documentation • Improve your code quality assessments with the help of AI • Articulate complex problems to prompt an AI solution • Develop a continuous learning mindset that keeps you up to date • Adapt your development skills to almost any language AI coding tools give you a smart and reliable junior developer that’s fast and keen to help out with your every task and query. AI-Powered Developer helps you put your new assistant to work. You’ll learn to use AI for everything from writing boilerplate, to testing and quality assessment, managing infrastructure, delivering security, and even assisting with software design. About the technology Using AI tools like Copilot and ChatGPT is like hiring a super-smart and super-fast junior developer eager to take on anything from research to refactoring. Coding with AI can help you work faster, write better applications, and maybe do things that aren’t even possible with your current team. This book will show you how. About the book AI-Powered Developer: Build software with ChatGPT and Copilot teaches you in concrete detail how to maximize the impact of AI coding tools in real-world software development. In it, you’ll walk through a complete application, introducing AI into every step of the workflow. You’ll use ChatGPT and Copilot to generate code and ideas, make predictive suggestions, and develop a self-documenting application. You’ll also learn how AI can help test and explain your code. What's inside • Use AI to design and plan software • Code generation, debugging, and documentation • Improve code quality assessments • Work with unfamiliar programming languages About the reader For intermediate software developers. No AI experience necessary. About the author Nathan B. Crocker is Cofounder and CTO at Checker Corp. The technical editor on this book was Nicolai Nielsen. Table of Contents PART 1 1 Understanding large language models 2 Getting started with large language models PART 2 3 Designing software with ChatGPT 4 Building software with GitHub Copilot 5 Managing data with GitHub Copilot and Copilot Chat PART 3 6 Testing, assessing, and explaining with large language models PART 4 7 Coding infrastructure and managing deployments 8 Secure application development with ChatGPT 9 GPT-ing on the go A Setting up ChatGPT B Setting up GitHub Copilot C Setting up AWS CodeWhisperer
Llm Prompt Engineering For Developers
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Author : Aymen El Amri
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-05-23
Llm Prompt Engineering For Developers written by Aymen El Amri and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-23 with Technology & Engineering categories.
Explore the dynamic field of LLM prompt engineering with this book. Starting with fundamental NLP principles & progressing to sophisticated prompt engineering methods, this book serves as the perfect comprehensive guide. Key Features In-depth coverage of prompt engineering from basics to advanced techniques. Insights into cutting-edge methods like AutoCoT and transfer learning. Comprehensive resource sections including prompt databases and tools. Book Description"LLM Prompt Engineering For Developers" begins by laying the groundwork with essential principles of natural language processing (NLP), setting the stage for more complex topics. It methodically guides readers through the initial steps of understanding how large language models work, providing a solid foundation that prepares them for the more intricate aspects of prompt engineering. As you proceed, the book transitions into advanced strategies and techniques that reveal how to effectively interact with and utilize these powerful models. From crafting precise prompts that enhance model responses to exploring innovative methods like few-shot and zero-shot learning, this resource is designed to unlock the full potential of language model technology. This book not only teaches the technical skills needed to excel in the field but also addresses the broader implications of AI technology. It encourages thoughtful consideration of ethical issues and the impact of AI on society. By the end of this book, readers will master the technical aspects of prompt engineering & appreciate the importance of responsible AI development, making them well-rounded professionals ready to focus on the advancement of this cutting-edge technology.What you will learn Understand the principles of NLP and their application in LLMs. Set up and configure environments for developing with LLMs. Implement few-shot and zero-shot learning techniques. Enhance LLM outputs through AutoCoT and self-consistency methods. Apply transfer learning to adapt LLMs to new domains. Develop practical skills in testing & scoring prompt effectiveness. Who this book is for The target audience for "LLM Prompt Engineering For Developers" includes software developers, AI enthusiasts, technical team leads, advanced computer science students, and AI researchers with a basic understanding of artificial intelligence. Ideal for those looking to deepen their expertise in large language models and prompt engineering, this book serves as a practical guide for integrating advanced AI-driven projects and research into various workflows, assuming some foundational programming knowledge and familiarity with AI concepts.
Developing Apps With Gpt 4 And Chatgpt
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Author : Olivier Caelen
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2023-08-29
Developing Apps With Gpt 4 And Chatgpt written by Olivier Caelen and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-29 with Computers categories.
This minibook is a comprehensive 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 ChatGPT and explain how they work. You'll also get a step-by-step guide for developing applications using the GPT-4 and ChatGPT Python library, including text generation, Q&A, and content summarization tools. 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: The fundamentals and benefits of ChatGPT and GPT-4 and how they work How to integrate these models into Python-based applications for NLP tasks How to develop applications using GPT-4 or ChatGPT APIs in Python for text generation, question answering, and content summarization, among other tasks Advanced GPT topics including prompt engineering, fine-tuning models for specific tasks, plug-ins, LangChain, and more
Generative Ai Powered Assistant For Developers
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Author : Behram Irani
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-08-30
Generative Ai Powered Assistant For Developers written by Behram Irani and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-30 with Computers categories.
Leverage Amazon Q Developer to boost productivity and maximize efficiency by accelerating software development life cycle tasks Key Features First book on the market to thoroughly explore all of Amazon Q Developer’s features Gain an understanding of Amazon Q Developer's capabilities across the software development life cycle through real-world examples Build apps with Amazon Q Developer by auto-generating code in various languages within supported IDEs Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMany developers face the challenge of managing repetitive tasks and maintaining productivity. This book will help you tackle both these challenges with Amazon Q Developer, a generative AI-powered assistant designed to optimize coding and streamline workflows. This book takes you through the setup and customization of Amazon Q Developer, demonstrating how to leverage its capabilities for auto-code generation, code explanation, and transformation across multiple IDEs and programming languages. You'll learn to use Amazon Q Developer to enhance coding experiences, generate accurate code references, and ensure security by scanning for vulnerabilities. The book also shows you how to use Amazon Q Developer for AWS-related tasks, including solution building, applying architecture best practices, and troubleshooting errors. Each chapter provides practical insights and step-by-step guidance to help you fully integrate this powerful tool into your development process. You’ll get to grips with effortless code implementation, explanation, transformation, and documentation, helping you create applications faster and improve your development experience. By the end of this book, you’ll have mastered Amazon Q Developer to accelerate your software development lifecycle, improve code quality, and build applications faster and more efficiently.What you will learn Understand the importance of generative AI-powered assistants in developers' daily work Enable Amazon Q Developer for IDEs and with AWS services to leverage code suggestions Customize Amazon Q Developer to align with organizational coding standards Utilize Amazon Q Developer for code explanation, transformation, and feature development Understand code references and scan for code security issues using Amazon Q Developer Accelerate building solutions and troubleshooting errors on AWS Who this book is for This book is for coders, software developers, application builders, data engineers, and technical resources using AWS services looking to leverage Amazon Q Developer's features to enhance productivity and accelerate business outcomes. Basic coding skills are needed to understand the concepts covered in this book.
Ai Augmented Software Developer
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Author : HEBooks
language : en
Publisher: Hebooks
Release Date :
Ai Augmented Software Developer written by HEBooks and has been published by Hebooks this book supported file pdf, txt, epub, kindle and other format this book has been release on with Antiques & Collectibles categories.
You're a developer. Time’s short. Expectations are high. AI is here — and changing the game. Are you still coding like it's 2010 while the future passes you by? AI-Augmented Software Developer gives you the unfair advantage every modern dev needs: - Write code faster without sacrificing quality. - Spot bugs before they crash your app. - Master prompt engineering, not just syntax. - Stay in control — don’t get replaced, don’t go all-in blindly. This isn’t about hype. It’s about survival — and success — in a world where AI is already in your IDE. Buy this book if you want to stay sharp, fast, and ahead of the curve. Don’t just write code. Write better code — faster — with AI.
Chatgpt For Java
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Author : Bruce Hopkins
language : en
Publisher: Springer Nature
Release Date : 2024-02-27
Chatgpt For Java written by Bruce Hopkins and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-27 with Computers categories.
Embrace the future of software development! ChatGPT for Java is the perfect starting point for Java developers to learn how to build intelligent applications using ChatGPT and Open AI APIs. This book takes you from the ground up to demonstrate how to use ChatGPT programmatically. You will learn the basics of ChatGPT and OpenAI APIs, including how to authenticate, send prompts, generate responses, test in the Playground, and handle errors. Each chapter includes practical exercises which demonstrate different API functionalities and bring your concepts to life. You will learn how to AI-enable your own applications using models such as GPT-4, GPT-3.5, Whisper, DALL-E, and many more. As a result, developers will understand that generative AI tools will not replace software development jobs! Instead, you will leverage ChatGPT as your Java AI-pair programmer to increase speed and productivity. You will also learn how ChatGPT can provide powerful Natural Language Processing (NLP) capabilities to your Java apps in order to understand various formats of unstructured text. Step-by-step, you will apply the concepts covered to create your own intelligent chatbots that can automatically process messages from either Slack on Discord. With this book, Java developers will be empowered to take their applications to new heights by leveraging the power of AI as this exciting field continues to evolve and transform. What You Will Learn Authenticate with the ChatGPT and OpenAI APIs and learn how to engineer and send prompts Test your prompts in the ChatGPT Playground How to use multiple artificial intelligence models Harness the power the temperature, top_p, and other parameters that can ONLY be accessed by developers to create more unique and engaging responses from ChatGPT Create intelligent bots for Slack or Discord servers Incorporate context into prompts for betterresponses and apply advanced features of the APIs. Explore future directions for ChatGPT and OpenAI Who This Book Is For Beginning and intermediate Java developers who have a basic understanding of Java programming concepts and are interested in learning how to add intelligence to their applications by using ChatGPT programmatically. No prior experience with ChatGPT or OpenAI APIs is required.
The Developer S Playbook For Large Language Model Security
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Author : Steve Wilson
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2024-09-03
The Developer S Playbook For Large Language Model Security written by Steve Wilson and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-03 with Computers categories.
Large language models (LLMs) are not just shaping the trajectory of AI, they're also unveiling a new era of security challenges. This practical book takes you straight to the heart of these threats. Author Steve Wilson, chief product officer at Exabeam, focuses exclusively on LLMs, eschewing generalized AI security to delve into the unique characteristics and vulnerabilities inherent in these models. Complete with collective wisdom gained from the creation of the OWASP Top 10 for LLMs list—a feat accomplished by more than 400 industry experts—this guide delivers real-world guidance and practical strategies to help developers and security teams grapple with the realities of LLM applications. Whether you're architecting a new application or adding AI features to an existing one, this book is your go-to resource for mastering the security landscape of the next frontier in AI. You'll learn: Why LLMs present unique security challenges How to navigate the many risk conditions associated with using LLM technology The threat landscape pertaining to LLMs and the critical trust boundaries that must be maintained How to identify the top risks and vulnerabilities associated with LLMs Methods for deploying defenses to protect against attacks on top vulnerabilities Ways to actively manage critical trust boundaries on your systems to ensure secure execution and risk minimization
Ai Futures
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Author : Evgeny Morozov
language : en
Publisher: Haymarket Books
Release Date : 2025-04-29
Ai Futures written by Evgeny Morozov and has been published by Haymarket Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-29 with Political Science categories.
A sober assessment of AI today, and a bold vision for what it could be. Generative AI tools, released by a handful of rich tech companies, are remaking the economy, society, and human life as we know it. Must their vision be our common destiny? Leading a forum, acclaimed technology writer Evgeny Morozov—author of To Save Everything, Click Here and host of the podcast A Sense of Rebellion—takes a hard look at Silicon Valley’s grip on our technological imagination. The prevailing wisdom says we can be complacent realists—erecting a few guardrails around Big Tech—or else total refuseniks, rejecting this new technology altogether. That false choice runs roughshod over history, Morozov argues—and with it a more utopian vision of the role technology can play in our lives. To sketch a better AI future, Morozov takes us back to the past, showing how a radically different way of thinking about artificial intelligence once flourished before losing out to Cold War militarization, consumerism, and venture capital. That more humane vision can still be won, but it requires being clear-eyed about the obstacles. Only by building political power, Morozov concludes, can we wrench control of AI from Silicon Valley and build a technological future that serves us all. Forum respondents include musician Brian Eno, computer scientist and AI pioneer Terry Winograd, free software activist and former digital minister of Taiwan Audrey Tang, technologist Bruce Schneier, writer and software engineer Wendy Liu, and journalist Edward Ongweso Jr.. Also in this issue: Joelle M. Abi-Rached on exploding pagers in Beirut and Israel’s expanding war; Sophia Goodfriend on the military’s embrace of the new AI; Lily Hu on the political theory of algorithms; Alexander Hartley on copyright after ChatGPT; Terry Nguyen on the work of literature in the age of large language models; and more.
Ai Frameworks And Tools For Software Development
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Author : Patel, Rahul K.
language : en
Publisher: IGI Global
Release Date : 2025-04-29
Ai Frameworks And Tools For Software Development written by Patel, Rahul K. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-29 with Computers categories.
The rapid advancements in artificial intelligence (AI) are transforming how organizations approach software development, creating both opportunities and challenges in the workplace. As AI tools become more mainstream, understanding their role, as well as the responsibilities of users, is crucial for ensuring their effective integration into software development processes. A clear framework for introducing AI in Information Systems Management can significantly enhance the efficiency and effectiveness of development teams and their external stakeholders. AI Frameworks and Tools for Software Development presents the best practices, research findings, and guidelines for using AI frameworks and tools in software development. It provides a holistic understanding of these key processes, functions, and workflows that are essential for effective Software Development Lifecycle (SDLC). Covering topics such as industrial automation, knowledge management, and code reusability, this book is an excellent resource for software developers, computer scientists, professionals, researchers, scholars, academicians, and more.