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Large Language Model-Based Solutions : How to Deliver Value with Cost-Effective Generative AI Applications by Shreyas Subramanian is a nonfiction available to read on EtoBox.

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Cover Contents At A Glance Title Page Copyright Page Dedication Page About the Author About the Technical Editor Contents Introduction GenAI Applications and Large Language Models Importance of Cost Optimization Challenges and Opportunities Micro Case Studies OpenAI: Leading the Way Hugging Face: Open-Source Community Building Bloomberg GPT: LLMs in Large Commercial Institutions Who Is This Book For? Summary Chapter 1 Introduction Overview of GenAI Applications and Large Language Models The Rise of Large Language Models Neural Networks, Transformers, and Beyond GenAI vs. LLMs: What’s the Difference? The Three-Layer GenAI Application Stack The Infrastructure Layer The Model Layer The Application Layer Paths to Productionizing GenAI Applications Sample LLM-Powered Chat Application The Importance of Cost Optimization Cost Assessment of the Model Inference Component Cost Assessment of the Vector Database Component Benchmarking Setup and Results Other Factors to Consider Cost Assessment of the Large Language Model Component Summary Chapter 2 Tuning Techniques for Cost Optimization Fine-Tuning and Customizability Basic Scaling Laws You Should Know Parameter-Efficient Fine-Tuning Methods

Who reads Large Language Model-Based Solutions : How to Deliver Value with Cost-Effective Generative AI Applications?

Author

Shreyas Subramanian

Publisher

Wiley & Sons, Incorporated, John

Published

2024

Language

EN

ISBN

9781394240746

Category

nonfiction

Subjects

Science, Computer Science, Artificial Intelligence (Ai)