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Creating Production-Ready LLMs: A Comprehensive Guide to Building, Optimizing, and Deploying Large Language Models for Production Use
Master the Art of Building, Optimizing, and Deploying Large Language Models for ProductionThe ONLY resource you will need to develop LLMs that can thrive in real-world applications.
This 500+ page guide covers everything from foundational concepts to advanced techniques, offering a clear roadmap Understanding the core architectures behind LLMs, including transformers, GPT, BERT, and T5.Training models from scratch, optimizing performance, and implementing distributed training with multi-GPU and TPU setups.Fine-tuning pre-trained models for specific tasks and ensuring they are reliable, scalable, and efficient.Practical strategies for integrating LLMs into business workflows, including case studies from industries like healthcare, finance, and education.Addressing key challenges such as debugging, handling edge cases, and ensuring robust security and ethical compliance.Mastering prompt engineering to enhance model performance, generate precise outputs, and unlock the full potential of LLMs in real-world applications.By the end of this book, you will have the expertise Take LLMs from concept to production use with confidence.Deploy LLMs in high-demand, real-world environments.Solve challenges in scaling, optimizing, and maintaining LLMs in production.Understand key ethical considerations and how to mitigate bias in LLM deployments.This book goes beyond theory, providing hands-on examples, case studies, and real-world insights that will help you apply LLMs effectively in your projects. Whether you're an AI engineer, data scientist, researcher, or business leader, Production-Ready LLMs equips you with the tools to stay ahead in the fast-paced world of AI.
If you’re ready to move beyond experimentation and develop LLMs that deliver results in real-world scenarios, Production-Ready LLMs is your essential companion.
This 500+ page guide covers everything from foundational concepts to advanced techniques, offering a clear roadmap Understanding the core architectures behind LLMs, including transformers, GPT, BERT, and T5.Training models from scratch, optimizing performance, and implementing distributed training with multi-GPU and TPU setups.Fine-tuning pre-trained models for specific tasks and ensuring they are reliable, scalable, and efficient.Practical strategies for integrating LLMs into business workflows, including case studies from industries like healthcare, finance, and education.Addressing key challenges such as debugging, handling edge cases, and ensuring robust security and ethical compliance.Mastering prompt engineering to enhance model performance, generate precise outputs, and unlock the full potential of LLMs in real-world applications.By the end of this book, you will have the expertise Take LLMs from concept to production use with confidence.Deploy LLMs in high-demand, real-world environments.Solve challenges in scaling, optimizing, and maintaining LLMs in production.Understand key ethical considerations and how to mitigate bias in LLM deployments.This book goes beyond theory, providing hands-on examples, case studies, and real-world insights that will help you apply LLMs effectively in your projects. Whether you're an AI engineer, data scientist, researcher, or business leader, Production-Ready LLMs equips you with the tools to stay ahead in the fast-paced world of AI.
If you’re ready to move beyond experimentation and develop LLMs that deliver results in real-world scenarios, Production-Ready LLMs is your essential companion.
596 pages, Kindle Edition
Published September 3, 2024
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