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"item_title" : "AI-First Automations",
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"item_description" : "Traditional automation is insufficient in the quickly changing enterprise technology world. Organizations need to adopt a new paradigm AI-First Automations if they want to stay ahead. AI-First Automations, written by well-known IT thought leader Taylor Royce, is a thorough manual on using Large Language Models (LLMs) to create intelligent, self-governing systems that improve productivity, cut expenses, and spur creativity. This book goes beyond straightforward rule-based systems to teach you how to develop dynamic, backend-focused solutions that comprehend context, combine data, and carry out intricate operations with amazing accuracy. HERE:The Fundamentals: Recognize the fundamental ideas behind AI-First Automations, their advantages over traditional techniques, and how they are influencing the nature of work in the future.Practical Implementation: Discover how to plan, develop, and implement your first LLM-powered automation step-by-step, from establishing basic backend logic to interacting with pre-existing systems.Advanced Strategies: Explore intricate techniques for LLM optimization, including as hybrid AI approaches, model distillation, and ways for guaranteeing robustness and scalability.Security and Ethics: Acquire vital knowledge about handling ethical issues, managing data security, and building a solid risk management framework for your AI systems.Real-World Case Studies: Examine fascinating instances of how AI-First Automations are being used in a variety of sectors, such as customer service, finance, and human resources, to generate a substantial return on investment and gain a competitive edge.AI-First Automations is a guide to a more intelligent and effective future, not merely a book. This guide will enable you to change your company and get ready for the AI-first era, regardless of your background-developer, business executive, or tech student.",
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AI-First Automations : Harnessing Large Language Models for Smarter Backends and Task Replacement
by Taylor Royce
Overview
Traditional automation is insufficient in the quickly changing enterprise technology world. Organizations need to adopt a new paradigm AI-First Automations if they want to stay ahead. AI-First Automations, written by well-known IT thought leader Taylor Royce, is a thorough manual on using Large Language Models (LLMs) to create intelligent, self-governing systems that improve productivity, cut expenses, and spur creativity. This book goes beyond straightforward rule-based systems to teach you how to develop dynamic, backend-focused solutions that comprehend context, combine data, and carry out intricate operations with amazing accuracy. HERE:
- The Fundamentals: Recognize the fundamental ideas behind AI-First Automations, their advantages over traditional techniques, and how they are influencing the nature of work in the future.
- Practical Implementation: Discover how to plan, develop, and implement your first LLM-powered automation step-by-step, from establishing basic backend logic to interacting with pre-existing systems.
- Advanced Strategies: Explore intricate techniques for LLM optimization, including as hybrid AI approaches, model distillation, and ways for guaranteeing robustness and scalability.
- Security and Ethics: Acquire vital knowledge about handling ethical issues, managing data security, and building a solid risk management framework for your AI systems.
- Real-World Case Studies: Examine fascinating instances of how AI-First Automations are being used in a variety of sectors, such as customer service, finance, and human resources, to generate a substantial return on investment and gain a competitive edge.
AI-First Automations is a guide to a more intelligent and effective future, not merely a book. This guide will enable you to change your company and get ready for the AI-first era, regardless of your background-developer, business executive, or tech student.
This item is Non-Returnable
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Details
- ISBN-13: 9798298590150
- ISBN-10: 9798298590150
- Publisher: Independently Published
- Publish Date: August 2025
- Dimensions: 9 x 6 x 0.29 inches
- Shipping Weight: 0.42 pounds
- Page Count: 134
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