Llms In Enterprise
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Llms In Enterprise
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Author : Ahmed Menshawy
language : en
Publisher:
Release Date : 2025-09-19
Llms In Enterprise written by Ahmed Menshawy and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-19 with Computers categories.
Integrate large language models into your enterprise applications with advanced strategies that drive transformation Key Features Explore design patterns for applying LLMs to solve real-world enterprise problems Learn strategies for scaling and deploying LLMs in complex environments Get more relevant results and improve performance by fine-tuning and optimizing LLMs Purchase of the print or Kindle book includes a free PDF eBook Book Description The integration of large language models (LLMs) into enterprise applications is transforming how businesses use AI to drive smarter decisions and efficient operations. LLMs in Enterprise is your practical guide to bringing these capabilities into real-world business contexts. It demystifies the complexities of LLM deployment and provides a structured approach for enhancing decision-making and operational efficiency with AI.Starting with an introduction to the foundational concepts, the book swiftly moves on to hands-on applications focusing on real-world challenges and solutions. You'll master data strategies and explore design patterns that streamline the optimization and deployment of LLMs in enterprise environments. From fine-tuning techniques to advanced inferencing patterns, the book equips you with a toolkit for solving complex challenges and driving AI-led innovation in business processes.By the end of this book, you'll have a solid grasp of key LLM design patterns and how to apply them to enhance the performance and scalability of your generative AI solutions. What you will learn Apply design patterns to integrate LLMs into enterprise applications for efficiency and scalability Overcome common challenges in scaling and deploying LLMs Use fine-tuning techniques and RAG approaches to enhance LLM efficiency Stay ahead of the curve with insights into emerging trends and advancements, including multimodality Optimize LLM performance through customized contextual models, advanced inferencing engines, and evaluation patterns Ensure fairness, transparency, and accountability in AI applications Who this book is for This book is designed for a diverse group of professionals looking to understand and implement advanced design patterns for LLMs in their enterprise applications, including AI and ML researchers exploring practical applications of LLMs, data scientists and ML engineers designing and implementing large-scale GenAI solutions, enterprise architects and technical leaders who oversee the integration of AI technologies into business processes, and software developers creating scalable GenAI-powered applications.
Llms In Enterprise
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Author : Ahmed Menshawy
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-09-19
Llms In Enterprise written by Ahmed Menshawy 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 2025-09-19 with Computers categories.
Integrate large language models into your enterprise applications with advanced strategies that drive transformation Key Features Explore design patterns for applying LLMs to solve real-world enterprise problems Learn strategies for scaling and deploying LLMs in complex environments Get more relevant results and improve performance by fine-tuning and optimizing LLMs Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe integration of large language models (LLMs) into enterprise applications is transforming how businesses use AI to drive smarter decisions and efficient operations. LLMs in Enterprise is your practical guide to bringing these capabilities into real-world business contexts. It demystifies the complexities of LLM deployment and provides a structured approach for enhancing decision-making and operational efficiency with AI. Starting with an introduction to the foundational concepts, the book swiftly moves on to hands-on applications focusing on real-world challenges and solutions. You’ll master data strategies and explore design patterns that streamline the optimization and deployment of LLMs in enterprise environments. From fine-tuning techniques to advanced inferencing patterns, the book equips you with a toolkit for solving complex challenges and driving AI-led innovation in business processes. By the end of this book, you’ll have a solid grasp of key LLM design patterns and how to apply them to enhance the performance and scalability of your generative AI solutions.What you will learn Apply design patterns to integrate LLMs into enterprise applications for efficiency and scalability Overcome common challenges in scaling and deploying LLMs Use fine-tuning techniques and RAG approaches to enhance LLM efficiency Stay ahead of the curve with insights into emerging trends and advancements, including multimodality Optimize LLM performance through customized contextual models, advanced inferencing engines, and evaluation patterns Ensure fairness, transparency, and accountability in AI applications Who this book is for This book is designed for a diverse group of professionals looking to understand and implement advanced design patterns for LLMs in their enterprise applications, including AI and ML researchers exploring practical applications of LLMs, data scientists and ML engineers designing and implementing large-scale GenAI solutions, enterprise architects and technical leaders who oversee the integration of AI technologies into business processes, and software developers creating scalable GenAI-powered applications.
Scaling Big Data Leveraging Llms For Enterprise Success
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Author : Vincent Kanka
language : en
Publisher: Libertatem Media Private Limited
Release Date : 2024-04-29
Scaling Big Data Leveraging Llms For Enterprise Success written by Vincent Kanka and has been published by Libertatem Media Private Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-29 with Business & Economics categories.
As enterprises navigate an increasingly data-driven world, the integration of Large Language Models (LLMs) into big data pipelines offers transformative opportunities. Scaling Big Data: Leveraging LLMs for Enterprise Success serves as a comprehensive guide for IT leaders, data scientists, and executives seeking to harness LLMs for superior analytics and decision-making. This book delves into the intersection of LLMs and big data, exploring how enterprises can scale operations while enhancing agility and insight extraction. Readers will uncover practical strategies for integrating LLMs with traditional tools like Apache Spark and Hadoop, optimizing infrastructure for real-time data processing, and employing RAG-based architectures to refine query systems. From cloud-based deployments to on-premise solutions, this guide provides actionable frameworks for building scalable, secure, and efficient systems tailored to industry-specific needs. Real-world case studies demonstrate how LLMs revolutionize workflows in finance, healthcare, marketing, and more, showcasing their ability to deliver precise, context-rich insights at scale. This book also addresses challenges such as ensuring data privacy, achieving low latency in pipelines, and navigating compliance landscapes. Emerging trends, including multi-modal LLM applications and AI- driven automation, are explored, preparing readers to stay ahead in a rapidly evolving technological landscape. Whether streamlining analytics, enhancing decision-making, or driving innovation, Scaling Big Data equips professionals with the tools to transform their enterprises and thrive in a competitive digital era.
Mastering Large Language Models With Python Unleash The Power Of Advanced Natural Language Processing For Enterprise Innovation And Efficiency Using Large Language Models Llms With Python
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Author : Raj Arun
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2024-04-12
Mastering Large Language Models With Python Unleash The Power Of Advanced Natural Language Processing For Enterprise Innovation And Efficiency Using Large Language Models Llms With Python written by Raj Arun and has been published by Orange Education Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-12 with Computers categories.
A Comprehensive Guide to Leverage Generative AI in the Modern Enterprise Key Features● Gain a comprehensive understanding of LLMs within the framework of Generative AI, from foundational concepts to advanced applications. ● Dive into practical exercises and real-world applications, accompanied by detailed code walkthroughs in Python. ● Explore LLMOps with a dedicated focus on ensuring trustworthy AI and best practices for deploying, managing, and maintaining LLMs in enterprise settings. Book Description “Mastering Large Language Models with Python” is an indispensable resource that offers a comprehensive exploration of Large Language Models (LLMs), providing the essential knowledge to leverage these transformative AI models effectively. From unraveling the intricacies of LLM architecture to practical applications like code generation and AI-driven recommendation systems, readers will gain valuable insights into implementing LLMs in diverse projects. Covering both open-source and proprietary LLMs, the book delves into foundational concepts and advanced techniques, empowering professionals to harness the full potential of these models. Detailed discussions on quantization techniques for efficient deployment, operational strategies with LLMOps, and ethical considerations ensure a well-rounded understanding of LLM implementation. Through real-world case studies, code snippets, and practical examples, readers will navigate the complexities of LLMs with confidence, paving the way for innovative solutions and organizational growth. Whether you seek to deepen your understanding, drive impactful applications, or lead AI-driven initiatives, this book equips you with the tools and insights needed to excel in the dynamic landscape of artificial intelligence. What you will learn ● In-depth study of LLM architecture and its versatile applications across industries. ● Harness open-source and proprietary LLMs to craft innovative solutions. ● Implement LLM APIs for a wide range of tasks spanning natural language processing, audio analysis, and visual recognition. ● Optimize LLM deployment through techniques such as quantization and operational strategies like LLMOps, ensuring efficient and scalable model usage. Table of Contents 1. The Basics of Large Language Models and Their Applications 2. Demystifying Open-Source Large Language Models 3. Closed-Source Large Language Models 4. LLM APIs for Various Large Language Model Tasks 5. Integrating Cohere API in Google Sheets 6. Dynamic Movie Recommendation Engine Using LLMs 7. Document-and Web-based QA Bots with Large Language Models 8. LLM Quantization Techniques and Implementation 9. Fine-tuning and Evaluation of LLMs 10. Recipes for Fine-Tuning and Evaluating LLMs 11. LLMOps - Operationalizing LLMs at Scale 12. Implementing LLMOps in Practice Using MLflow on Databricks 13. Mastering the Art of Prompt Engineering 14. Prompt Engineering Essentials and Design Patterns 15. Ethical Considerations and Regulatory Frameworks for LLMs 16. Towards Trustworthy Generative AI (A Novel Framework Inspired by Symbolic Reasoning) Index
Ai Native Llm Security
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Author : Vaibhav Malik
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-12-12
Ai Native Llm Security written by Vaibhav Malik 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 2025-12-12 with Computers categories.
Unlock the secrets to safeguarding AI by exploring the top risks, essential frameworks, and cutting-edge strategies—featuring the OWASP Top 10 for LLM Applications and Generative AI DRM-free PDF version + access to Packt's next-gen Reader* Key Features Understand adversarial AI attacks to strengthen your AI security posture effectively Leverage insights from LLM security experts to navigate emerging threats and challenges Implement secure-by-design strategies and MLSecOps practices for robust AI system protection Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionAdversarial AI attacks present a unique set of security challenges, exploiting the very foundation of how AI learns. This book explores these threats in depth, equipping cybersecurity professionals with the tools needed to secure generative AI and LLM applications. Rather than skimming the surface of emerging risks, it focuses on practical strategies, industry standards, and recent research to build a robust defense framework. Structured around actionable insights, the chapters introduce a secure-by-design methodology, integrating threat modeling and MLSecOps practices to fortify AI systems. You’ll discover how to leverage established taxonomies from OWASP, NIST, and MITRE to identify and mitigate vulnerabilities. Through real-world examples, the book highlights best practices for incorporating security controls into AI development life cycles, covering key areas such as CI/CD, MLOps, and open-access LLMs. Built on the expertise of its co-authors—pioneers in the OWASP Top 10 for LLM applications—this guide also addresses the ethical implications of AI security, contributing to the broader conversation on trustworthy AI. By the end of this book, you’ll be able to develop, deploy, and secure AI technologies with confidence and clarity. *Email sign-up and proof of purchase required What you will learn Understand unique security risks posed by LLMs Identify vulnerabilities and attack vectors using threat modeling Detect and respond to security incidents in operational LLM deployments Navigate the complex legal and ethical landscape of LLM security Develop strategies for ongoing governance and continuous improvement Mitigate risks across the LLM life cycle, from data curation to operations Design secure LLM architectures with isolation and access controls Who this book is for This book is essential for cybersecurity professionals, AI practitioners, and leaders responsible for developing and securing AI systems powered by large language models. Ideal for CISOs, security architects, ML engineers, data scientists, and DevOps professionals, it provides insights on securing AI applications. Managers and executives overseeing AI initiatives will also benefit from understanding the risks and best practices outlined in this guide to ensure the integrity of their AI projects. A basic understanding of security concepts and AI fundamentals is assumed.
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Author :
language : en
Publisher: "O'Reilly Media, Inc."
Release Date :
written by 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 with categories.
The Generative Ai Practitioner S Guide
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Author : Arup Das
language : en
Publisher: TinyTechMedia LLC
Release Date : 2024-07-20
The Generative Ai Practitioner S Guide written by Arup Das and has been published by TinyTechMedia LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-20 with Computers categories.
Generative AI is revolutionizing the way organizations leverage technology to gain a competitive edge. However, as more companies experiment with and adopt AI systems, it becomes challenging for data and analytics professionals, AI practitioners, executives, technologists, and business leaders to look beyond the buzz and focus on the essential questions: Where should we begin? How do we initiate the process? What potential pitfalls should we be aware of? This TinyTechGuide offers valuable insights and practical recommendations on constructing a business case, calculating ROI, exploring real-life applications, and considering ethical implications. Crucially, it introduces five LLM patterns—author, retriever, extractor, agent, and experimental—to effectively implement GenAI systems within an organization. The Generative AI Practitioner’s Guide: How to Apply LLM Patterns for Enterprise Applications bridges critical knowledge gaps for business leaders and practitioners, equipping them with a comprehensive toolkit to define a business case and successfully deploy GenAI. In today’s rapidly evolving world, staying ahead of the competition requires a deep understanding of these five implementation patterns and the potential benefits and risks associated with GenAI. Designed for business leaders, tech experts, and IT teams, this book provides real-life examples and actionable insights into GenAI’s transformative impact on various industries. Empower your organization with a competitive edge in today’s marketplace using The Generative AI Practitioner’s Guide: How to Apply LLM Patterns for Enterprise Applications. Remember, it’s not the tech that’s tiny, just the book!™
The Cio S Guide To Adopting Generative Ai Five Keys To Success
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Author : David Sweenor
language : en
Publisher: TinyTechMedia LLC
Release Date : 2023-10-24
The Cio S Guide To Adopting Generative Ai Five Keys To Success written by David Sweenor and has been published by TinyTechMedia LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-24 with Computers categories.
In a world full of generative AI hoopla, it's easy to get lost in the maze of options and marketing hype. Don't get distracted by the vendor hype; instead, focus on building resilient, high-value platforms that will set you apart from the competition. The CIO’s Guide to Adopting Generative AI: Five Keys to Success fills a critical knowledge gap for CIOs and business leaders by succinctly offering five success factors that need to be met before an organization can successfully incorporate generative AI. To unlock the transformative business value of generative AI, business leaders must: 1) identify enterprise use cases, 2) apply context to large language models (LLMs) using their organization's data, 3) take special precautions to ensure data security and privacy, 4) implement an artificial intelligence (AI) governance framework, and 5) build manageable AI applications for business users. This report provides the keys to unlocking the true potential of generative AI. Full of use cases and real-world applications, this report is designed for business leaders, tech professionals, and IT teams. We provide practical, jargon-free explanations of generative AI's transformative power. Gain a competitive edge in today's marketplace with The CIO’s Guide to Adopting Generative AI: Five Keys to Success. Remember, it's not the tech that's tiny, it's the book!™
The Generative Revolution How Ai Is Transforming Creativity Innovation And Intelligence
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Author : Dr. Raffi Mohammed
language : en
Publisher: The Institute for Innovations in Engineering and Technology
Release Date : 2026-01-01
The Generative Revolution How Ai Is Transforming Creativity Innovation And Intelligence written by Dr. Raffi Mohammed and has been published by The Institute for Innovations in Engineering and Technology this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-01-01 with Antiques & Collectibles categories.
The Generative Revolution provides a concise yet powerful exploration of how Generative AI is transforming creativity, innovation, and human–machine interaction. Integrating insights from multiple disciplines, the volume examines core architectures, multimodal systems, and diverse applications across science, engineering, healthcare, and the arts. It also addresses key ethical and societal challenges while offering practical guidance for researchers, educators, technologists, and policymakers. This book serves as a timely roadmap to understanding the future of intelligent creativity and innovation.
Advances In Information And Communication
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Author : Kohei Arai
language : en
Publisher: Springer Nature
Release Date : 2025-03-04
Advances In Information And Communication written by Kohei Arai and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-04 with Computers categories.
This book comprises the proceedings of the Future of Information and Communication Conference (FICC) 2025, held on 28-29 April 2025 in Berlin, Germany. The conference brought together leading researchers, industry experts, and academics from across the globe to discuss the latest advancements, challenges, and opportunities in the rapidly evolving field of information and communication technologies. The conference received an impressive 401 submissions, of which 138 high-quality papers were selected after a rigorous peer-review process. These contributions span a diverse range of topics, including artificial intelligence, cybersecurity, data science, networking, human–computer interaction, and more. FICC 2025 provided an engaging platform for collaboration and knowledge exchange, highlighting state-of-the-art research and practical solutions to global challenges. This proceedings book serves as a valuable resource for researchers, practitioners, and innovators seeking insights into the future of information and communication technologies.