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Responsible AI Strategy Beyond Fear and Hype – 2024 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.
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.
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Scope
A Comprehensive Guide to AI: Machine Learning, Neural Networks and Data Management. Up to date with Generative AI. A Leader’s Guide to Generative AI: How it works, opportunities, risks, use cases and strategies. The Complete Guide to AI-enabled Business Transformation. AI Governance, Ethics and Risk Management in the Age of Generative Models. 3 Book Collection: AI Fundamentals, Introduction to LLMs, and Generative AI Transformation.
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Fundamentals of AI Fundamentals of Generative AI Quick Read. Enterprise Transformation Generative AI Ethics and Governance Most Value
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AI Academy
We are the most trusted and effective learning platform to give you the knowledge and skills needed to harness the power of AI safely and ethically.
Our comprehensive courses, designed by industry experts, get you up to speed fast: no padding, or detours, or thousands spent on outdated content. We give you exactly what you need to get on with your AI-enabled business.
Learn the latest AI technologies, strategies, and practical applications tailored to non-technical professionals. Our instructor-graded assignments help you kick-start your AI business strategy.
We Embed Intelligence Into Everything We Do
Educational design is teamwork. We build a curriculum focusing on learning goals, applying best practices and evolving them. This helps us find the best methods, activities, and tests to help students meet their goals.
In building a program focused AI and data, we embed intelligence into everything we do. Each chapter is carefully designed and curated by a team of expert humans. They work hard to make sure every part of your learning experience is just right for you.
The AI Fundamentals book gives you access to online quizzes to test your knowledge as your read.
ASIN : B0CH4HF26B
Publisher : Now Next Later AI (September 1, 2023)
Publication date : September 1, 2023
Language : English
File size : 4028 KB
Simultaneous device usage : Unlimited
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Enabled
Print length : 234 pages
Page numbers source ISBN : 0648635953
