brousseau christopher (26 resultados)

Condición: Very Good. A copy that has been read, but remains in excellent condition. Pages are intact and are not marred by notes or highlighting. The spine remains undamaged. There are no stickers on book or rips in dust cover.

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Paperback. Condición: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

paperback. Condición: Acceptable. Connecting readers with great books since 1972. Used textbooks may not include companion materials such as access codes, etc. May have condition issues including wear and notes/highlighting. We ship orders daily and Customer Service is our top priority!

Condición: Bueno. : Este libro práctico ofrece explicaciones claras y detalladas sobre cómo funcionan los modelos de lenguaje de gran tamaño (LLM) y cómo integrarlos de manera efectiva en aplicaciones reales. A través de ejemplos enriquecedores, los autores guían al lector desde los fundamentos tecnológicos hasta el despliegue en producción, cubriendo aspectos críticos como MLOps, ingeniería de datos y evaluación de modelos.Diseñado para científicos de datos e ingenieros de aprendizaje automático, el texto aborda desafíos prácticos como el ajuste fino (fine-tuning), la optimización de costes y el rendimiento en hardware comercial. Incluye proyectos prácticos que van desde la creación de un asistente de código hasta el despliegue de modelos en dispositivos de borde como Raspberry Pi, proporcionando una hoja de ruta completa para transformar modelos teóricos en productos exitosos. EAN: 9781633437203 Tipo: Libros Categoría: Tecnología|Ciencias Título: LLMs in Production: From Language Models to Successful Products Autor: Christopher Brousseau| Matt Sharp Editorial: Manning Publications Idioma: en Páginas: 456 Formato: tapa blanda.

Condición: As New. Unread book in perfect condition.

Condición: As New. Unread copy in mint condition.

Condición: New.

Condición: New.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Hardback. Condición: New. Learn how to put Large Language Model-based applications into production safely and efficiently.Large Language Models (LLMs) are the foundation of AI tools like ChatGPT, LLAMA and Bard. This practical book offers clear, example-rich explanations of how LLMs work, how you can interact with them, and how to integrate LLMs into your own applications. In LLMs in Production you will: Grasp the fundamentals of LLMs and the technology behind themEvaluate when to use a premade LLM and when to build your ownEfficiently scale up an ML platform to handle the needs of LLMsTrain LLM foundation models and finetune an existing LLMDeploy LLMs to the cloud and edge devices using complex architectures like RLHFBuild applications leveraging the strengths of LLMs while mitigating their weaknesses LLMs in Production delivers vital insights into delivering MLOps for LLMs. You'll learn how to operationalize these powerful AI models for chatbots, coding assistants, and more. Find out what makes LLMs so different from traditional software and ML, discover best practices for working with them out of the lab, and dodge common pitfalls with experienced advice.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Hardback. Condición: New. Learn how to put Large Language Model-based applications into production safely and efficiently.Large Language Models (LLMs) are the foundation of AI tools like ChatGPT, LLAMA and Bard. This practical book offers clear, example-rich explanations of how LLMs work, how you can interact with them, and how to integrate LLMs into your own applications. In LLMs in Production you will: Grasp the fundamentals of LLMs and the technology behind themEvaluate when to use a premade LLM and when to build your ownEfficiently scale up an ML platform to handle the needs of LLMsTrain LLM foundation models and finetune an existing LLMDeploy LLMs to the cloud and edge devices using complex architectures like RLHFBuild applications leveraging the strengths of LLMs while mitigating their weaknesses LLMs in Production delivers vital insights into delivering MLOps for LLMs. You'll learn how to operationalize these powerful AI models for chatbots, coding assistants, and more. Find out what makes LLMs so different from traditional software and ML, discover best practices for working with them out of the lab, and dodge common pitfalls with experienced advice.

Condición: New.

Hardcover. Condición: new. Hardcover. Learn how to put Large Language Model-based applications into production safely and efficiently.Large Language Models (LLMs) are the foundation of AI tools like ChatGPT, LLAMA and Bard. This practical book offers clear, example-rich explanations of how LLMs work, how you can interact with them, and how to integrate LLMs into your own applications. In LLMs in Production you will: Grasp the fundamentals of LLMs and the technology behind themEvaluate when to use a premade LLM and when to build your ownEfficiently scale up an ML platform to handle the needs of LLMsTrain LLM foundation models and finetune an existing LLMDeploy LLMs to the cloud and edge devices using complex architectures like RLHFBuild applications leveraging the strengths of LLMs while mitigating their weaknesses LLMs in Production delivers vital insights into delivering MLOps for LLMs. You'll learn how to operationalize these powerful AI models for chatbots, coding assistants, and more. Find out what makes LLMs so different from traditional software and ML, discover best practices for working with them out of the lab, and dodge common pitfalls with experienced advice. Learn how to put Large Language Model-based applications into production safely and efficiently. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condición: New.

Paperback / softback. Condición: New. New copy - Usually dispatched within 2 working days.

paperback. Condición: New. Special order direct from the distributor.

Condición: New.

Condición: New. 1st edition NO-PA16APR2015-KAP.

Paperback. Condición: Brand New. 400 pages. 9.26x7.38x9.25 inches. In Stock.

Hardback. Condición: New. Learn how to put Large Language Model-based applications into production safely and efficiently.Large Language Models (LLMs) are the foundation of AI tools like ChatGPT, LLAMA and Bard. This practical book offers clear, example-rich explanations of how LLMs work, how you can interact with them, and how to integrate LLMs into your own applications. In LLMs in Production you will: Grasp the fundamentals of LLMs and the technology behind themEvaluate when to use a premade LLM and when to build your ownEfficiently scale up an ML platform to handle the needs of LLMsTrain LLM foundation models and finetune an existing LLMDeploy LLMs to the cloud and edge devices using complex architectures like RLHFBuild applications leveraging the strengths of LLMs while mitigating their weaknesses LLMs in Production delivers vital insights into delivering MLOps for LLMs. You'll learn how to operationalize these powerful AI models for chatbots, coding assistants, and more. Find out what makes LLMs so different from traditional software and ML, discover best practices for working with them out of the lab, and dodge common pitfalls with experienced advice.

Condición: As New. Unread book in perfect condition.

Hardcover. Condición: new. Hardcover. Learn how to put Large Language Model-based applications into production safely and efficiently.Large Language Models (LLMs) are the foundation of AI tools like ChatGPT, LLAMA and Bard. This practical book offers clear, example-rich explanations of how LLMs work, how you can interact with them, and how to integrate LLMs into your own applications. In LLMs in Production you will: Grasp the fundamentals of LLMs and the technology behind themEvaluate when to use a premade LLM and when to build your ownEfficiently scale up an ML platform to handle the needs of LLMsTrain LLM foundation models and finetune an existing LLMDeploy LLMs to the cloud and edge devices using complex architectures like RLHFBuild applications leveraging the strengths of LLMs while mitigating their weaknesses LLMs in Production delivers vital insights into delivering MLOps for LLMs. You'll learn how to operationalize these powerful AI models for chatbots, coding assistants, and more. Find out what makes LLMs so different from traditional software and ML, discover best practices for working with them out of the lab, and dodge common pitfalls with experienced advice. Learn how to put Large Language Model-based applications into production safely and efficiently. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardback. Condición: New. Learn how to put Large Language Model-based applications into production safely and efficiently.Large Language Models (LLMs) are the foundation of AI tools like ChatGPT, LLAMA and Bard. This practical book offers clear, example-rich explanations of how LLMs work, how you can interact with them, and how to integrate LLMs into your own applications. In LLMs in Production you will: Grasp the fundamentals of LLMs and the technology behind themEvaluate when to use a premade LLM and when to build your ownEfficiently scale up an ML platform to handle the needs of LLMsTrain LLM foundation models and finetune an existing LLMDeploy LLMs to the cloud and edge devices using complex architectures like RLHFBuild applications leveraging the strengths of LLMs while mitigating their weaknesses LLMs in Production delivers vital insights into delivering MLOps for LLMs. You'll learn how to operationalize these powerful AI models for chatbots, coding assistants, and more. Find out what makes LLMs so different from traditional software and ML, discover best practices for working with them out of the lab, and dodge common pitfalls with experienced advice.

Taschenbuch. Condición: Neu. Neuware - From the back cover: LLMs in Production is the comprehensive guide to LLMs you'll need to effectively guide you to production usage. It takes you through the entire lifecycle of an LLM, from initial concept, to creation and fine tuning, all the way to deployment. You'll discover how to effectively prepare an LLM dataset, cost-efficient training techniques like LORA and RLHF, and how to evaluate your models against industry benchmarks. Learn to properly establish deployment infrastructure and address common challenges like retraining and load testing. Finally, you'll go hands-on with three exciting example projects: a cloud-based LLM chatbot, a Code Completion VSCode Extension, and deploying LLM to edge devices like Raspberry Pi. By the time you're done reading, you'll be ready to start developing LLMs and effectively incorporating them into software. About the reader: For data scientists and ML engineers, who know Python and the basics of Kubernetes and cloud deployment.