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The LLM Application Security: Hands-on Guide to Securing Your Large Language Model Applications - A Developer's Guide

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Large Language Models (LLMs) are revolutionizing the way we interact with technology. From generating creative content to providing insightful analysis, LLMs offer immense potential. However, with this power comes great responsibility. Securing these models is crucial to ensure their ethical and reliable use.

This book is your comprehensive guide to building secure and trustworthy LLM applications. It delves into the key security principles and practices that developers need to know, including

Key Understanding LLM Learn about the various threats LLMs face, from data poisoning to adversarial attacks.Building Secure LLM Discover techniques to mitigate bias, ensure fairness, and protect against malicious inputs.MLOps for Implement robust MLOps practices to secure the entire LLM lifecycle, from data collection to model deployment.Staying Ahead of the Explore emerging threats and best practices to maintain LLM security in an ever-evolving landscape.This book is ideal for developers, data scientists, and anyone involved in building and deploying LLM applications. It provides practical guidance and actionable insights to help you secure your LLM projects.

As an expert in the field of LLM security, Charles will guide you through the intricacies of building secure LLMs. With a deep understanding of the challenges and best practices, the author will help you navigate the security landscape and make informed decisions.

122 pages, Kindle Edition

Published October 27, 2024

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