LLM Engineers Handbook

Name: LLM Engineers Handbook
Brand: Packt Publishing
SKU: 4778164

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5050608LLM Engineers Handbookhttps://www.gandhi.com.mx/llm-engineers-handbook-9781836200062/phttps://gandhi.vtexassets.com/arquivos/ids/4593452/image.jpg?v=638665859441870000886985MXNPackt PublishingInStock/Ebooks/4778164LLM Engineers Handbook886985https://www.gandhi.com.mx/llm-engineers-handbook-9781836200062/phttps://gandhi.vtexassets.com/arquivos/ids/4593452/image.jpg?v=638665859441870000InStockMXN99999DIEbook20249781836200062_W3siaWQiOiJmM2ZiM2I2Zi0zNWQ4LTQ0Y2QtYjgxMC03ZTgzZThlY2M0NWUiLCJsaXN0UHJpY2UiOjk4NSwiZGlzY291bnQiOjk5LCJzZWxsaW5nUHJpY2UiOjg4NiwiaW5jbHVkZXNUYXgiOnRydWUsInByaWNlVHlwZSI6Ildob2xlc2FsZSIsImN1cnJlbmN5IjoiTVhOIiwiZnJvbSI6IjIwMjQtMTAtMjJUMDA6MDA6MDBaIiwicmVnaW9uIjoiTVgiLCJpc1ByZW9yZGVyIjpmYWxzZX1d9781836200062_<p><b>Step into the world of LLMs with a practical guide that takes you from the fundamentals to deploying advanced applications using LLMOps best practices</b></p><h2>Key Features</h2><ul><li>Build and refine LLMs with step-by-step examples covering data preparation, RAG, and fine-tuning</li><li>Master essential skills for deploying and monitoring LLMs, ensuring optimal performance in production</li><li>Discover cutting-edge methods to enhance LLM performance and adaptability in real-world applications</li></ul><h2>Book Description</h2>The field of Artificial Intelligence has undergone rapid advancements, and Large Language Models (LLMs) are at the forefront of this revolution. This LLM book provides practical insights into designing, training, and deploying LLMs in real-world scenarios by leveraging MLOps best practices. This comprehensive guide walks you through building an end-to-end LLM-powered technical content writer, by overcoming isolated Jupyter Notebooks and focusing on teaching how to build production-grade end-to-end LLM systems. Throughout this book, you will learn data engineering, supervised fine-tuning, and deployment . The hands-on approach, combined with detailed examples, helps you understand the implementation of MLOps components in your projects. The book also explores the cutting-edge advancements in the field, including inference optimization and real-time data processing, making it a vital resource for anyone looking to leverage LLMs in their projects. By the end of this book, you will be proficient in deploying robust large language models, leveraging them to solve practical problems, and maintaining low-latency and high-availability inference capabilities. Whether you are new to AI or an experienced practitioner, this book offers valuable insights and practical knowledge to enhance your expertise in LLMs.<h2>What you will learn</h2><ul><li>Implement robust data pipelines and manage LLM training cycles</li><li>Construct and refine LLMs with hands-on examples</li><li>Get up and running with MLOps principles like IaC</li><li>Perform supervised fine-tuning and evaluate LLMs</li><li>Deploy end-to-end LLM solutions using AWS and other tools</li><li>Explore continuous training and updating models in production</li><li>Learn about RAG ingestion and inference pipeline</li></ul><h2>Who this book is for</h2><p>This book is for AI engineers, NLP professionals, and LLM engineers looking to deepen their understanding of LLMs. Basic knowledge of LLMs and the Gen AI landscape, Python and AWS is recommended. Whether you are new to AI or looking to enhance your skills, this book provides comprehensive guidance on implementing LLMs in real-world scenarios</p>...(*_*)9781836200062_<p><b>Step into the world of LLMs with this practical guide that takes you from the fundamentals to deploying advanced applications using LLMOps best practices</b></p><h2>Key Features</h2><ul><li>Build and refine LLMs step by step, covering data preparation, RAG, and fine-tuning</li><li>Learn essential skills for deploying and monitoring LLMs, ensuring optimal performance in production</li><li>Utilize preference alignment, evaluation, and inference optimization to enhance performance and adaptability of your LLM applications</li></ul><h2>Book Description</h2>Artificial intelligence has undergone rapid advancements, and Large Language Models (LLMs) are at the forefront of this revolution. This LLM book offers insights into designing, training, and deploying LLMs in real-world scenarios by leveraging MLOps best practices. The guide walks you through building an LLM-powered twin thats cost-effective, scalable, and modular. It moves beyond isolated Jupyter notebooks, focusing on how to build production-grade end-to-end LLM systems. Throughout this book, you will learn data engineering, supervised fine-tuning, and deployment. The hands-on approach to building the LLM Twin use case will help you implement MLOps components in your own projects. You will also explore cutting-edge advancements in the field, including inference optimization, preference alignment, and real-time data processing, making this a vital resource for those looking to apply LLMs in their projects. By the end of this book, you will be proficient in deploying LLMs that solve practical problems while maintaining low-latency and high-availability inference capabilities. Whether you are new to artificial intelligence or an experienced practitioner, this book delivers guidance and practical techniques that will deepen your understanding of LLMs and sharpen your ability to implement them effectively.<h2>What you will learn</h2><ul><li>Implement robust data pipelines and manage LLM training cycles</li><li>Create your own LLM and refine it with the help of hands-on examples</li><li>Get started with LLMOps by diving into core MLOps principles such as orchestrators and prompt monitoring</li><li>Perform supervised fine-tuning and LLM evaluation</li><li>Deploy end-to-end LLM solutions using AWS and other tools</li><li>Design scalable and modularLLM systems</li><li>Learn about RAG applications by building a feature and inference pipeline</li></ul><h2>Who this book is for</h2><p>This book is for AI engineers, NLP professionals, and LLM engineers looking to deepen their understanding of LLMs. Basic knowledge of LLMs and the Gen AI landscape, Python and AWS is recommended. Whether you are new to AI or looking to enhance your skills, this book provides comprehensive guidance on implementing LLMs in real-world scenarios</p>...9781836200062_Packt Publishinglibro_electonico_9781836200062_9781836200062Maxime LabonneInglésMéxico2024-10-22T00:00:00+00:002024-10-22T00:00:00+00:00https://getbook.kobo.com/koboid-prod-public/packt-epub-22ca0e05-c40d-4463-bc53-97d0e52aae06.epubPackt Publishing