Détail de l'auteur
Auteur Valentina ALTO |
Documents disponibles écrits par cet auteur (3)
Ajouter le résultat dans votre panier Faire une suggestion Affiner la rechercheAI Agents in Practice : Design, implement, and scale autonomous AI systems for production / Valentina ALTO / PACKT PUBLISHING (2025)
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Titre : AI Agents in Practice : Design, implement, and scale autonomous AI systems for production Type de document : e-book Auteurs : Valentina ALTO Editeur : PACKT PUBLISHING Année de publication : 2025 ISBN/ISSN/EAN : 9781805801351 Note générale : copyrighted Langues : Anglais (eng) Résumé : Master the art of building AI agents with this hands-on guide to orchestration, multi-agent systems, real-world case studies, and ethical insights to drive immediate business impactKey FeaturesBuild production-ready AI agents with hands-on tutorials for diverse industry applicationsExplore multi-agent system architectures with practical frameworks for orchestrator comparisonFuture-proof your AI development with ethical implementation strategies and security patternsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionAs AI agents evolve to take on complex tasks and operate autonomously, you need to learn how to build these next-generation systems. Author Valentina Alto brings practical, industry-grounded expertise in AI Agents in Practice to help you go beyond simple chatbots and create AI agents that plan, reason, collaborate, and solve real-world problems using large language models (LLMs) and the latest open-source frameworks. In this book, you'll get a comparative tour of leading AI agent frameworks such as LangChain and LangGraph, covering each tool's strengths, ideal use cases, and how to apply them in real-world projects. Through step-by-step examples, you’ll learn how to construct single-agent and multi-agent architectures using proven design patterns to orchestrate AI agents working together. Case studies across industries will show you how AI agents drive value in real-world scenarios, while guidance on responsible AI will help you implement ethical guardrails from day one. The chapters also set the stage with a brief history of AI agents, from early rule-based systems to today's LLM-driven autonomous agents, so you understand how we got here and where the field is headed. By the end of this book, you'll have the practical skills, design insights, and ethical foresight to build and deploy AI agents that truly make an impact.What you will learnBuild core agent components such as LLMs, memory systems, tool integration, and context managementDevelop production-ready AI agents using frameworks such as LangChain with codeCreate effective multi-agent systems using orchestration patterns for problem-solvingImplement industry-specific agents for e-commerce, customer support, and moreDesign robust memory architectures for agents with short- and long-term recallApply responsible AI practices with monitoring, guardrails, and human oversightOptimize AI agent performance and cost for production environmentsWho this book is forThis book is ideal for AI engineers and data scientists looking to move beyond basic LLM implementations to build sophisticated autonomous agents. Software developers and system architects will find practical guidelines for integrating agents into existing tech stacks. Product managers and technical entrepreneurs will gain strategic insights into how AI agents can solve business problems across industries. A basic understanding of machine learning concepts and working knowledge of Python are required to make the most of this book and implement production-ready AI agent systems. Nombre d'accès : Illimité En ligne : https://neoma-bs.idm.oclc.org/login?url=https://www.scholarvox.com/book/88972211 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=613639 Practical Generative AI with ChatGPT : Unleash your prompt engineering potential with OpenAI technologies for productivity and creativity / Valentina ALTO / PACKT PUBLISHING (2025)
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Titre : Practical Generative AI with ChatGPT : Unleash your prompt engineering potential with OpenAI technologies for productivity and creativity Type de document : e-book Auteurs : Valentina ALTO Editeur : PACKT PUBLISHING Année de publication : 2025 ISBN/ISSN/EAN : 9781836647850 Note générale : copyrighted Langues : Anglais (eng) Résumé : Transform your professional world with ChatGPT and OpenAI—master prompt design to revolutionize development, marketing, research, and enterprise implementationKey FeaturesTurn ChatGPT into your companion for marketing, research, personal productivity, art and codingLearn prompt engineering techniques that deliver consistent, relevant, and ethical AI-powered resultsBuild custom GPTs and assistants tailored to your specific business needs and workflowsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionPractical Generative AI with ChatGPT is your hands-on guide to unlocking the full potential of ChatGPT. From building AI assistants and mastering prompt engineering to analyzing documents and images and even generating code, this book equips you with the skills to integrate generative AI into your workflow. Written by a technical architect specializing in AI and intelligent applications, this book provides the tools and knowledge you need to streamline tasks, enhance productivity, and create intelligent solutions. You’ll learn how to craft precise prompts, leverage ChatGPT for daily efficiency, and develop custom AI assistants tailored to your needs. The chapters show you how to use ChatGPT’s multimodal capabilities to generate images with DALL·E and even transform images into code. This ChatGPT book goes beyond basic interactions by showing you how to design custom GPTs and integrate OpenAI’s APIs into your applications. You’ll explore how businesses use OpenAI models, from building AI applications, including semantic search, to creating an AI roadmap. Each chapter is packed with practical examples, ensuring you can apply the techniques right away. By the end of this book, you’ll be well equipped to leverage OpenAI's technology for competitive advantage.What you will learnExplore the fundamentals of generative AI and GPT modelsMaster prompt engineering to consistently get relevant and reliable outputs from ChatGPTDevelop marketing strategies and conduct meaningful A/B testing with AI assistanceBoost your coding with code generation, review, and optimizationEnhance research with real-time knowledge miningEnhance your visual creativity with image generation, image understanding, and style transferDesign custom GPTs and assistants tailored to specific business functionsDiscover how enterprises are leveraging large language models for their AI appsWho this book is forThis book is ideal for business professionals, developers, marketers, researchers, and decision-makers who want to leverage AI to enhance productivity. No advanced technical background is required for the foundational sections, making the content accessible to beginners, while later chapters provide depth for technical professionals implementing enterprise solutions. If you’re seeking practical applications of generative AI in business contexts, you’ll find immediate, actionable value in this book. Nombre d'accès : Illimité En ligne : https://neoma-bs.idm.oclc.org/login?url=https://www.scholarvox.com/book/88969988 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=609153 Building LLM Powered Applications : Create intelligent apps and agents with large language models / Valentina ALTO / PACKT PUBLISHING (2024)
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Titre : Building LLM Powered Applications : Create intelligent apps and agents with large language models Type de document : e-book Auteurs : Valentina ALTO Editeur : PACKT PUBLISHING Année de publication : 2024 ISBN/ISSN/EAN : 9781835462317 Note générale : copyrighted Langues : Anglais (eng) Résumé : Get hands-on with GPT 3.5, GPT 4, LangChain, Llama 2, Falcon LLM and more, to build LLM-powered sophisticated AI applicationsKey FeaturesEmbed LLMs into real-world applicationsUse LangChain to orchestrate LLMs and their components within applicationsGrasp basic and advanced techniques of prompt engineeringBook DescriptionBuilding LLM Powered Applications delves into the fundamental concepts, cutting-edge technologies, and practical applications that LLMs offer, ultimately paving the way for the emergence of large foundation models (LFMs) that extend the boundaries of AI capabilities. The book begins with an in-depth introduction to LLMs. We then explore various mainstream architectural frameworks, including both proprietary models (GPT 3.5/4) and open-source models (Falcon LLM), and analyze their unique strengths and differences. Moving ahead, with a focus on the Python-based, lightweight framework called LangChain, we guide you through the process of creating intelligent agents capable of retrieving information from unstructured data and engaging with structured data using LLMs and powerful toolkits. Furthermore, the book ventures into the realm of LFMs, which transcend language modeling to encompass various AI tasks and modalities, such as vision and audio. Whether you are a seasoned AI expert or a newcomer to the field, this book is your roadmap to unlock the full potential of LLMs and forge a new era of intelligent machines.What you will learnExplore the core components of LLM architecture, including encoder-decoder blocks and embeddingsUnderstand the unique features of LLMs like GPT-3.5/4, Llama 2, and Falcon LLMUse AI orchestrators like LangChain, with Streamlit for the frontendGet familiar with LLM components such as memory, prompts, and toolsLearn how to use non-parametric knowledge and vector databasesUnderstand the implications of LFMs for AI research and industry applicationsCustomize your LLMs with fine tuningLearn about the ethical implications of LLM-powered applicationsWho this book is for Software engineers and data scientists who want hands-on guidance for applying LLMs to build applications. The book will also appeal to technical leaders, students, and researchers interested in applied LLM topics. We don’t assume previous experience with LLM specifically. But readers should have core ML/software engineering fundamentals to understand and apply the content. Nombre d'accès : Illimité En ligne : https://neoma-bs.idm.oclc.org/login?url=https://www.scholarvox.com/book/88957540 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=585463
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