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Introduction to Large Language Models for Business Leaders

Almeida, I.

Introduction to Large Language Models for Business Leaders

Responsible AI Strategy Beyond Fear and Hype - 2024 Edition


Shortlisted 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 GPT-4 and Claude 2. 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.




With a clear aim to inform rather than influence, this book is your roadmap to adopting LLMs thoughtfully, maximizing benefits, and minimizing risks. Let's move beyond the noise and understand how LLMs can genuinely benefit your business.


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 can also view, for free, the first module of the self-paced course "AI Fundamentals for Business Leaders, " and enjoy video lessons and webinars. 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.

CHF 47.90

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ISBN 9780645510584
Sprache eng
Cover Kartonierter Einband (Kt)
Verlag Now Next Later AI
Jahr 20230901

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