Introduction To Large Language Models For Business Leaders
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Introduction To Large Language Models For Business Leaders
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Author : I. Almeida
language : en
Publisher: Byte-Sized Learning
Release Date : 2023-09
Introduction To Large Language Models For Business Leaders written by I. Almeida and has been published by Byte-Sized Learning this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09 with categories.
Aimed at non-technical business leaders, this guide offers a pragmatic approach to leveraging LLMs for tangible benefits, while ensuring ethical considerations aren't sidelined.
Introduction To Large Language Models For Business Leaders
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Author : I. Almeida
language : en
Publisher: Now Next Later AI
Release Date : 2023-09-02
Introduction To Large Language Models For Business Leaders written by I. Almeida and has been published by Now Next Later AI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-02 with Computers categories.
Responsible AI Strategy Beyond Fear and Hype - 2025 Edition Finalist for the 2023 HARVEY CHUTE Book Awards recognizing emerging talent and outstanding works in the genre of Business and Enterprise Non-Fiction. In this comprehensive guide, business leaders will gain a nuanced understanding of large language models (LLMs) and generative AI. The book covers the rapid progress of LLMs, explains technical concepts in non-technical terms, provides business use cases, offers implementation strategies, explores impacts on the workforce, and discusses ethical considerations. Key topics include: - The Evolution of LLMs: From early statistical models to transformer architectures and foundation models. - How LLMS Understand Language: Demystifying key components like self-attention, embeddings, and deep linguistic modeling. - The Art of Inference: Exploring inference parameters for controlling and optimizing LLM outputs. - Appropriate Use Cases: A nuanced look at LLM strengths and limitations across applications like creative writing, conversational agents, search, and coding assistance. - Productivity Gains: Synthesizing the latest research on generative AI's impact on worker efficiency and satisfaction. - The Perils of Automation: Examining risks like automation blindness, deskilling, disrupted teamwork and more if LLMs are deployed without deliberate precautions. - The LLM Value Chain: Analyzing key components, players, trends and strategic considerations. - Computational Power: A deep dive into the staggering compute requirements behind state-of-the-art generative AI. - Open Source vs Big Tech: Exploring the high-stakes battle between open and proprietary approaches to AI development. - The Generative AI Project Lifecycle: A blueprint spanning use case definition, model selection, adaptation, integration and deployment. - Ethical Data Sourcing: Why the training data supply chain proves as crucial as model architecture for responsible development. - Evaluating LLMs: Surveying common benchmarks, their limitations, and holistic alternatives. - Efficient Fine-Tuning: Examining techniques like LoRA and PEFT that adapt LLMs for applications with minimal compute. - Human Feedback: How reinforcement learning incorporating human ratings and demonstrations steers models towards helpfulness. - Ensemble Models and Mixture-of-Experts: Parallels between collaborative intelligence in human teams and AI systems. - Areas of Research and Innovation: Retrieval augmentation, program-aided language models, action-based reasoning and more. - Ethical Deployment: Pragmatic steps for testing, monitoring, seeking feedback, auditing incentives and mitigating risks responsibly. The book offers an impartial narrative aimed at informing readers for thoughtful adoption, maximizing real-world benefits while proactively addressing risks. With this guide, leaders gain integrated perspectives essential to setting sound strategies amidst generative AI's rapid evolution. More Than a Book By purchasing this book, you will also be granted free access to the AI Academy platform. There you can view free course modules, test your knowledge through quizzes, attend webinars, and engage in discussion with other readers. No credit card required. AI Academy by Now Next Later AI We are the most trusted and effective learning platform dedicated to empowering leaders with the knowledge and skills needed to harness the power of AI safely and ethically.
Generative Ai For Business Leaders
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Author : I. Almeida
language : en
Publisher: Now Next Later AI
Release Date : 2023-12-03
Generative Ai For Business Leaders written by I. Almeida and has been published by Now Next Later AI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-03 with Business & Economics categories.
2025 Edition. Business leaders must understand how to effectively leverage Generative AI within their companies in order to remain competitive. This book collection offers a fresh, timely viewpoint on this critical topic. Readers will gain foundational knowledge about AI and Generative algorithms while exploring both the potential benefits, risks and ethics involved. Guidance is provided on enhancing an organization's offerings, operating model and strategic direction while mitigating biases and negative consequences. The book collection lays out a comprehensive approach for businesses to successfully adopt and integrate Generative AI technologies. Common errors and challenges that companies face in this relatively new domain are highlighted, along with proven tactics to overcome them and achieve strong results. A comprehensive playbook to unlock the commercial potential of generative AI for managers, directors, executives, governance specialists, and any professionals interested in the intersection of business and emerging technologies. Book: Generative AI Transformation Blueprint Drawing on insights from AI-enabled business transformations in diverse sectors, it presents a validated strategic approach. This blueprint not only outlines best practices but also showcases pioneering use cases, integrating them into a cohesive framework for practical implementation. This scenario-based approach helps leaders understand where and how to apply the practices outlined. Spanning across areas from strategic alignment and talent development to ethical governance and sustaining a competitive edge amid relentless underlying progress, it delivers clarity for charting an optimal Generative AI roadmap. Book: Introduction to Large Language Models for Business Leaders: Responsible AI Strategy Beyond Fear and Hype Finalist for the 2023 HARVEY CHUTE Book Awards recognizing emerging talent and outstanding works in the genre of Business and Enterprise Non-Fiction. Explore the transformative potential of technologies like ChatGPT and Claude. These large language models (LLMs) promise to reshape how businesses operate. Aimed at non-technical business leaders, this guide offers a pragmatic approach to leveraging LLMs for tangible benefits, while ensuring ethical considerations aren't sidelined. LLMs can refine processes in marketing, software development, HR, R&D, customer service, and even legal operations. But it's essential to approach them with a balanced view. In this guide, you'll: - Learn about the rapid advancements of LLMs. - Understand complex concepts in simple terms. - Discover practical business applications. - Get strategies for smooth integration. - Assess potential impacts on your team. - Delve into the ethics of deploying LLMs. Book: Artificial Intelligence Fundamentals for Business Leaders: Up to Date With Generative AI The perfect guide to help non-technical business leaders understand the power of AI: Machine Learning, Neural Networks, and Data Management. Up to date with Generative AI. More Than a Book Collection By purchasing this series, you will also be granted free access to the AI Academy platform. There you can test your knowledge through end-of-chapter quizzes and engage in discussion. You will also receive free modules and 50% discount toward the enrollment in the self-paced course of the same name and enjoy video summary lessons, instructor-graded assignments, and live sessions. A course certificate will be awarded upon successful completion.
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.
Introduction To Python And Large Language Models
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Author : Dilyan Grigorov
language : en
Publisher: Springer Nature
Release Date : 2024-10-22
Introduction To Python And Large Language Models written by Dilyan Grigorov and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-22 with Computers categories.
Gain a solid foundation for Natural Language Processing (NLP) and Large Language Models (LLMs), emphasizing their significance in today’s computational world. This book is an introductory guide to NLP and LLMs with Python programming. The book starts with the basics of NLP and LLMs. It covers essential NLP concepts, such as text preprocessing, feature engineering, and sentiment analysis using Python. The book offers insights into Python programming, covering syntax, data types, conditionals, loops, functions, and object-oriented programming. Next, it delves deeper into LLMs, unraveling their complex components. You’ll learn about LLM elements, including embedding layers, feedforward layers, recurrent layers, and attention mechanisms. You’ll also explore important topics like tokens, token distributions, zero-shot learning, LLM hallucinations, and insights into popular LLM architectures such as GPT-4, BERT, T5, PALM, and others. Additionally, it covers Python libraries like Hugging Face, OpenAI API, and Cohere. The final chapter bridges theory with practical application, offering step-by-step examples of coded applications for tasks like text generation, summarization, language translation, question-answering systems, and chatbots. In the end, this book will equip you with the knowledge and tools to navigate the dynamic landscape of NLP and LLMs. What You’ll Learn Understand the basics of Python and the features of Python 3.11 Explore the essentials of NLP and how do they lay the foundations for LLMs. Review LLM components. Develop basic apps using LLMs and Python. Who This Book Is For Data analysts, AI and Machine Learning Experts, Python developers, and Software Development Professionals interested in learning the foundations of NLP, LLMs, and the processes of building modern LLM applications for various tasks.
Zero Trust Overview And Playbook Introduction
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Author : Mark Simos
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-10-30
Zero Trust Overview And Playbook Introduction written by Mark Simos 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 2023-10-30 with Computers categories.
Enhance your cybersecurity and agility with this thorough playbook, featuring actionable guidance, insights, and success criteria from industry experts Key Features Get simple, clear, and practical advice for everyone from CEOs to security operations Organize your Zero Trust journey into role-by-role execution stages Integrate real-world implementation experience with global Zero Trust standards Purchase of the print or Kindle book includes a free eBook in the PDF format Book DescriptionZero Trust is cybersecurity for the digital era and cloud computing, protecting business assets anywhere on any network. By going beyond traditional network perimeter approaches to security, Zero Trust helps you keep up with ever-evolving threats. The playbook series provides simple, clear, and actionable guidance that fully answers your questions on Zero Trust using current threats, real-world implementation experiences, and open global standards. The Zero Trust playbook series guides you with specific role-by-role actionable information for planning, executing, and operating Zero Trust from the boardroom to technical reality. This first book in the series helps you understand what Zero Trust is, why it’s important for you, and what success looks like. You’ll learn about the driving forces behind Zero Trust – security threats, digital and cloud transformations, business disruptions, business resilience, agility, and adaptability. The six-stage playbook process and real-world examples will guide you through cultural, technical, and other critical elements for success. By the end of this book, you’ll have understood how to start and run your Zero Trust journey with clarity and confidence using this one-of-a-kind series that answers the why, what, and how of Zero Trust!What you will learn Find out what Zero Trust is and what it means to you Uncover how Zero Trust helps with ransomware, breaches, and other attacks Understand which business assets to secure first Use a standards-based approach for Zero Trust See how Zero Trust links business, security, risk, and technology Use the six-stage process to guide your Zero Trust journey Transform roles and secure operations with Zero Trust Discover how the playbook guides each role to success Who this book is for Whether you’re a business leader, security practitioner, or technology executive, this comprehensive guide to Zero Trust has something for you. This book provides practical guidance for implementing and managing a Zero Trust strategy and its impact on every role (including yours!). This is the go-to guide for everyone including board members, CEOs, CIOs, CISOs, architects, engineers, IT admins, security analysts, program managers, product owners, developers, and managers. Don't miss out on this essential resource for securing your organization against cyber threats.
Ai Leadership Handbook
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Author : Andreas Welsch
language : en
Publisher: Andreas Welsch
Release Date : 2024-09-10
Ai Leadership Handbook written by Andreas Welsch and has been published by Andreas Welsch this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-10 with Business & Economics categories.
The pressure on leaders to incorporate AI into their business has never been higher. Despite their best efforts, 85 percent of AI projects fail. But that is rarely just because of technology. Between unrealistic expectations of what AI can do, isolated science projects turned into money pits, and employees looking for clarity on how AI influences their jobs, learning how to successfully introduce AI into your organization can be difficult. Getting it right on the second or third attempt is not an option. In order for your AI program to be successful, you need to be aware of all the facets involved, not just the technology—a daunting task. The AI Leadership Handbookprepares you to master the nine most important facets with ease. Andreas Welsch uses real-world knowledge and examples from interviews with over 60 leaders and experts in AI to help you both introduce and incorporate AI into your organization, from aligning it with your business strategy to turning new-to-AI employees into passionate multipliers to making sure humans stay at the center of your AI use. After reading this book, you will be able to confidently implement AI in your business, no matter your industry. IN THE AI LEADERSHIP HANDBOOK, YOU WILL DISCOVER HOW TO: - Leverage the full scope of an AI leadership role - Win (enthusiastic) buy-in from employees - Take a product-centric approach to building AI applications - Build a pipeline of high-value AI capabilities - Utilize AI ethically, safely, and sustainably Spanning strategy, stakeholder management, collaboration, culture, ethics, data privacy, risk management, and technology, Andreas covers everything you need to know to become a confident and successful AI leader—and get it right on the first try.
Introduction To Teaching
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Author : Gene E. Hall
language : en
Publisher: SAGE Publications
Release Date : 2023-10-11
Introduction To Teaching written by Gene E. Hall and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-11 with Education categories.
Grounded in the realities and complexities of today’s schools, Introduction to Teaching: Making a Difference in Student Learning, Fourth Edition is the ideal text for aspiring teachers. Acclaimed authors Gene E. Hall, Linda F. Quinn, and Donna M. Gollnick thoroughly prepare students to make a difference as teachers, presenting first-hand stories and evidence-based practices while offering a student-centered approach to learning. From true-to-life challenges that teachers will face—reduced funding, low retention, and changing standards—to the inspiration and joy they will discover throughout their teaching careers, this text paints a realistic picture of the real life of a teacher in a post-pandemic era.
Ai Management System Certification According To The Iso Iec 42001 Standard
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Author : Sid Ahmed Benraouane
language : en
Publisher: CRC Press
Release Date : 2024-06-24
Ai Management System Certification According To The Iso Iec 42001 Standard written by Sid Ahmed Benraouane and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-24 with Business & Economics categories.
The book guides the reader through the auditing and compliance process of the newly released ISO Artificial Intelligence standard. It provides tools and best practices on how to put together an AI management system that is certifiable and sheds light on ethical and legal challenges business leaders struggle with to make their AI system comply with existing laws and regulations, and the ethical framework of the organization. The book is unique because it provides implementation guidance on the new certification and conformity assessment process required by the new ISO Standard on Artificial Intelligence (ISO 42001:2023 Artificial Intelligence Management System) published by ISO in August 2023. This is the first book that addresses this issue. As a member of the US/ISO team who participated in the drafting of this standard during the last 3 years, the author has direct knowledge and insights that are critical to the implementation of the standard. He explains the context of how to interpret ISO clauses, gives examples and guidelines, and provides best practices that help compliance managers and senior leadership understand how to put together the AI compliance system to certify their AI system. The reader will find in the book a complete guide to the certification process of AI systems and the conformity assessment required by the standard. It also provides guidance on how to read the new EU AI Act and some of the U.S. legislations, such as NYC Local Law 144, enacted in July 2023. This is the first book that helps the reader create an internal auditing program that enhances the company’s AI compliance framework. Generative AI has taken the world by storm, and currently, there is no international standard that provides guidance on how to put together a management system that helps business leaders address issues of AI governance, AI structure, AI risk, AI audit, and AI impact analysis. ISO/IEC 42001:2023 is the first international mandatory and certifiable standard that provides a comprehensive and well-integrated framework for the issue of AI governance. This book provides a step-by-step process on how to implement the standard so the AI system can pass the ISO accreditation process.
Artificial Intelligence Fundamentals For Business Leaders
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Author : I. Almeida
language : en
Publisher: Now Next Later AI
Release Date : 2023-06
Artificial Intelligence Fundamentals For Business Leaders written by I. Almeida and has been published by Now Next Later AI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06 with Business & Economics categories.
2025 Edition. Free access to the AI Academy! The perfect guide to help non-technical business leaders understand the power of AI. Completely up to date with the latest advancements in generative AI. Part of the Byte-sized Learning AI series by Now Next Later AI, these books break down complex concepts into easily digestible pieces, providing you with a solid foundation in the fundamentals of AI. More Than a Book By purchasing this book, you will also be granted free access to the AI Academy platform. There you can view free course modules, test your knowledge through quizzes, attend webinars, and engage in discussion with other readers. You will also receive free modules and 50% discount toward the enrollment in the self-paced course of the same name and enjoy video summary lessons, instructor-graded assignments, and live sessions. A course certificate will be awarded upon successful completion. AI Academy by Now Next Later AI We are the most trusted and effective learning platform dedicated to empowering leaders with the knowledge and skills needed to harness the power of AI safely and ethically. Book and Course Learning Rubric - Chapters 1-7: Understanding of AI [11%] —Demonstrated comprehension of AI's evolution, definition, applications, and comparison with human intelligence. - Chapters 8-13: Understanding of Data and Data Management [11%] — Clear understanding of the significance of big data, and strategies for data management. - Chapters 14-29: Understanding of Machine Learning [30%] — Familiarity with machine learning algorithms, different learning types, and the key steps involved in a machine learning project. - Chapters 30-35: Understanding of Deep Learning [9%] — Understanding of deep learning, its basics, and the structure and types of neural networks. - Chapters 36-40: Understanding of Model Selection and Evaluation [9%] — Ability to select and evaluate machine learning models and utilize them for decision-making. - Chapters 41-50: Understanding of Generative AI [15%] — Detailed understanding of generative AI, its value chain, models, prompt strategies, applications, opportunities, and governance challenges. Assignment: Practical Application [15%] — Ability to apply generative AI understanding to real-world business challenges, demonstrating critical thinking and strategic planning skills.