LLM Essentials: A Busy Professional's Guide to Large Language Models
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- Дата: 30-06-2024, 07:52
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Автор: Pradeep Savadi, Archit Goyal, Virender Savadi
Издательство: Leanpub
Год: 2024-06-26
Страниц: 145
Язык: английский
Формат: epub (true)
Размер: 12.1 MB
Unlock the power of AI with "LLM Essentials: A Busy Professional's Guide to Large Language Models." This concise guide demystifies the world of LLMs, offering practical insights for business leaders and innovators. Discover how to leverage these powerful models to transform customer service, streamline content creation, and uncover hidden insights in your data. From ethical considerations to cutting-edge techniques like multimodal LLMs, this book covers it all. With step-by-step guides and real-world examples, you'll learn to implement LLMs in your business, even with limited resources. Don't let the AI revolution pass you by. "LLM Essentials" is your roadmap to harnessing the future of language technology. Get ready to lead your organization into a new era of AI-driven success.
"LLM Essentials: A Busy Professional's Guide to Large Language Models" is a comprehensive resource designed for business leaders, managers, and professionals seeking to understand and leverage the power of large language models (LLMs) in their organizations. This book provides a practical, accessible overview of LLM technology and its applications across various industries.
Key topics covered include:
An introduction to LLMs and their transformative potential for businesses
Techniques for fine-tuning and customizing LLMs with minimal computing resources
Ethical considerations and frameworks for responsible AI deployment
Practical examples of LLM customization for specific business needs like customer support and content generation
Emerging trends and innovations in LLM technology, including multimodal models and federated learning
Strategies for preparing your business for the next wave of AI advancements
Written with the busy professional in mind, this book breaks down complex technical concepts into easily digestible chapters. It offers actionable insights and step-by-step guides for implementing LLMs in business contexts, along with code examples and best practices.
Whether you're looking to enhance customer experiences, streamline operations, or drive innovation in your organization, "LLM Essentials" provides the knowledge and tools you need to harness the power of large language models. By the end of this book, readers will have a solid understanding of LLM technology and be well-equipped to lead AI initiatives in their businesses.
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