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Introduction to Large Language Models for Business Leaders: Responsible AI Strategy Beyond Fear and Hype
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
The Evolution of From early statistical models to transformer architectures and foundation models.How LLMs Understand Demystifying key components like self-attention, embeddings, and deep linguistic modeling.The Art of Exploring inference parameters for controlling and optimizing LLM outputs.Appropriate Use A nuanced look at LLM strengths and limitations across applications like creative writing, conversational agents, search, and coding assistance.Productivity Synthesizing the latest research on generative AI's impact on worker efficiency and satisfaction.The Perils of Examining risks like automation blindness, deskilling, disrupted teamwork and more if LLMs are deployed without deliberate precautions.The LLM Value Analyzing key components, players, trends and strategic considerations.Computational A deep dive into the staggering compute requirements behind state-of-the-art generative AI.Open Source vs Big Exploring the high-stakes battle between open and proprietary approaches to AI development.The Generative AI Project A blueprint spanning use case definition, model selection, adaptation, integration and deployment.Ethical Data Why the training data supply chain proves as crucial as model architecture for responsible development.Evaluating Surveying common benchmarks, their limitations, and holistic alternatives.Efficient Examining techniques like LoRA and PEFT that adapt LLMs for applications with minimal compute.Human How reinforcement learning incorporating human ratings and demonstrations steers models towards helpfulness.Ensemble Models and Parallels between collaborative intelligence in human teams and AI systems.Areas of Research and Retrieval augmentation, program-aided language models, action-based reasoning and more.Ethical 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.
The perfect Generative AI book for beginners.
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.
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
The Evolution of From early statistical models to transformer architectures and foundation models.How LLMs Understand Demystifying key components like self-attention, embeddings, and deep linguistic modeling.The Art of Exploring inference parameters for controlling and optimizing LLM outputs.Appropriate Use A nuanced look at LLM strengths and limitations across applications like creative writing, conversational agents, search, and coding assistance.Productivity Synthesizing the latest research on generative AI's impact on worker efficiency and satisfaction.The Perils of Examining risks like automation blindness, deskilling, disrupted teamwork and more if LLMs are deployed without deliberate precautions.The LLM Value Analyzing key components, players, trends and strategic considerations.Computational A deep dive into the staggering compute requirements behind state-of-the-art generative AI.Open Source vs Big Exploring the high-stakes battle between open and proprietary approaches to AI development.The Generative AI Project A blueprint spanning use case definition, model selection, adaptation, integration and deployment.Ethical Data Why the training data supply chain proves as crucial as model architecture for responsible development.Evaluating Surveying common benchmarks, their limitations, and holistic alternatives.Efficient Examining techniques like LoRA and PEFT that adapt LLMs for applications with minimal compute.Human How reinforcement learning incorporating human ratings and demonstrations steers models towards helpfulness.Ensemble Models and Parallels between collaborative intelligence in human teams and AI systems.Areas of Research and Retrieval augmentation, program-aided language models, action-based reasoning and more.Ethical 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.
The perfect Generative AI book for beginners.
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.
Audible Audio
Published March 25, 2025
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About the author
I. Almeida
5 books3 followersI. Almeida is the Chief Transformation Officer at Now Next Later AI, an AI advisory, training, and publishing business supporting organizations with their AI strategy, transformation, and governance.
With a wealth of experience spanning over 26 years, I. Almeida held senior positions at companies such as Thoughtworks, Salesforce, and Publicis Sapient, where she advised hundreds of executive customers on digital- and technology-enabled Business Strategy and Transformation.
She is the author of several books, including three AI guides with a clear aim to provide an independent, balanced and responsible perspective on Generative AI business adoption.
I. Almeida serves as an AI advisory member in the Adelaide Institute of Higher Education Course Advisory Committee.
She is a regular speaker at industry events such as Gartner Symposium, SXSW, and ADAPT. Her latest books show her extensive knowledge and insights, displaying her unique perspective and invaluable contributions to the field.
With a wealth of experience spanning over 26 years, I. Almeida held senior positions at companies such as Thoughtworks, Salesforce, and Publicis Sapient, where she advised hundreds of executive customers on digital- and technology-enabled Business Strategy and Transformation.
She is the author of several books, including three AI guides with a clear aim to provide an independent, balanced and responsible perspective on Generative AI business adoption.
I. Almeida serves as an AI advisory member in the Adelaide Institute of Higher Education Course Advisory Committee.
She is a regular speaker at industry events such as Gartner Symposium, SXSW, and ADAPT. Her latest books show her extensive knowledge and insights, displaying her unique perspective and invaluable contributions to the field.
Ratings & Reviews
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Displaying 1 - 5 of 5 reviews
October 3, 2023
A must-read for non-technical business leaders...
"Introduction to LLMs for Business Leaders: Responsible AI Strategy Beyond Fear and Hype" by I. Almeida is a must-read for non-technical business leaders looking to harness the potential of advanced technologies like GPT-4 and Claude 2. This guide provides a practical and ethical approach to integrating Large Language Models (LLMs) into various business operations, from marketing to legal affairs.
The book navigates the complexities of LLMs with clarity, ensuring that even those without a technical background can grasp their significance. It offers valuable insights into the rapid advancements of LLMs and their real-world applications.
What sets this guide apart is its focus on responsible AI strategy. It emphasizes the importance of ethical considerations when deploying LLMs, making sure that businesses not only maximize benefits but also minimize risks.
Furthermore, readers gain access to the AI Academy platform, allowing them to deepen their knowledge through quizzes, discussions with peers, and complimentary access to the "AI Fundamentals for Business Leaders" course. This holistic approach ensures that business leaders are well-prepared to navigate the transformative world of AI.
In a time when AI is reshaping industries, "Introduction to LLMs for Business Leaders" is a valuable resource that empowers leaders to harness AI's potential safely and ethically. It's a roadmap for those ready to move beyond the commotion and embrace the benefits of LLMs for their organizations.
"Introduction to LLMs for Business Leaders: Responsible AI Strategy Beyond Fear and Hype" by I. Almeida is a must-read for non-technical business leaders looking to harness the potential of advanced technologies like GPT-4 and Claude 2. This guide provides a practical and ethical approach to integrating Large Language Models (LLMs) into various business operations, from marketing to legal affairs.
The book navigates the complexities of LLMs with clarity, ensuring that even those without a technical background can grasp their significance. It offers valuable insights into the rapid advancements of LLMs and their real-world applications.
What sets this guide apart is its focus on responsible AI strategy. It emphasizes the importance of ethical considerations when deploying LLMs, making sure that businesses not only maximize benefits but also minimize risks.
Furthermore, readers gain access to the AI Academy platform, allowing them to deepen their knowledge through quizzes, discussions with peers, and complimentary access to the "AI Fundamentals for Business Leaders" course. This holistic approach ensures that business leaders are well-prepared to navigate the transformative world of AI.
In a time when AI is reshaping industries, "Introduction to LLMs for Business Leaders" is a valuable resource that empowers leaders to harness AI's potential safely and ethically. It's a roadmap for those ready to move beyond the commotion and embrace the benefits of LLMs for their organizations.
August 25, 2024
It is a good read for executives wanting to learn about large language models. It offers a concise yet comprehensive overview, covering everything from core concepts to practical use cases to ethical concerns. The writing is straightforward, making it accessible for those without deep technical knowledge. While it delves more into ethical issues than I'd prefer, it’s expected given the book's focus. Overall, I’d give it a 7/10 for successfully balancing breadth and simplicity.
May 26, 2025
I highly recommend this series of books. Next to the books that I have written of course, these are the best out there for learning AI and its potential. There is an online course that goes with this series that I also highly recommend.
October 3, 2025
There is some good info. Some chapters are difficult to follow with same basic point repeated in different ways. I think, this book is partially written by AI. Audible version is unpleasant to listen with virtual voice.
December 20, 2024
Comprehensive
There was some basic information in the book, but for the most part, I've learned many new things about LLMs and how complex they are, especially the ethical side.
There was some basic information in the book, but for the most part, I've learned many new things about LLMs and how complex they are, especially the ethical side.
Displaying 1 - 5 of 5 reviews