Phoenix james taylor mike (28 risultati)

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Paperback. Condizione: New. Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation.With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice. When first integrating LLMs and diffusion models into their workflows, most developers struggle to coax reliable enough results from them to use in automated systems. Authors James Phoenix and Mike Taylor show you how a set of principles called prompt engineering can enable you to work effectively with AI.Learn how to empower AI to work for you. This book explains:The structure of the interaction chain of your program's AI model and the fine-grained steps in betweenHow AI model requests arise from transforming the application problem into a document completion problem in the model training domainThe influence of LLM and diffusion model architecture-and how to best interact with itHow these principles apply in practice in the domains of natural language processing, text and image generation, and code.…

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Paperback. Condizione: New. Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation.With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice. When first integrating LLMs and diffusion models into their workflows, most developers struggle to coax reliable enough results from them to use in automated systems. Authors James Phoenix and Mike Taylor show you how a set of principles called prompt engineering can enable you to work effectively with AI.Learn how to empower AI to work for you. This book explains:The structure of the interaction chain of your program's AI model and the fine-grained steps in betweenHow AI model requests arise from transforming the application problem into a document completion problem in the model training domainThe influence of LLM and diffusion model architecture-and how to best interact with itHow these principles apply in practice in the domains of natural language processing, text and image generation, and code.…

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Condizione: New. Idioma/Language: Español. Los modelos de lenguaje de gran tamaño (LLM) y los modelos de difusión, como ChatGPT y DALL-E, representan una revolución sin precedentes en el ámbito de la inteligencia artificial. Entrenados con texto e imágenes públicas disponibles en Internet, estos modelos son capaces de abordar una amplia variedad de tareas, ofreciendo soluciones innovadoras y automatizadas a problemas previamente inabordables. A pesar de su accesibilidad, muchos desarrolladores enfrentan desafíos significativos al intentar obtener resultados fiables y utilizables en sistemas automatizados. Este libro ofrece una guía exhaustiva para adquirir una sólida base en IA generativa y aprender a aplicar estos modelos en la práctica. Los autores, James Phoenix y Mike Taylor, presentan los principios del prompt engineering, esenciales para trabajar de manera efectiva con IA en entornos de producción. En este libro descubrirá: - Los cinco principios de prompting que son transferibles entre diferentes modelos y que mantendrán su efectividad en el futuro. - Aplicaciones prácticas de la IA generativa en ejemplos del mundo real, utilizando bibliotecas y frameworks como LangChain. - Cómo evaluar y comparar modelos: analizará y comparará modelos de OpenAI, como GPT-4 y DALL-E 2, con alternativas de código abierto, identificando sus fortalezas y debilidades. - Implementación en diversos ámbitos: aprenderá cómo aplicar estos principios en procesamiento del lenguaje natural (PNL), generación de texto e imágenes, y generación de código. Este libro es una herramienta indispensable para cualquier desarrollador que quiera llevar sus proyectos al siguiente nivel y aprovechar el poder de la IA generativa para transformar sus resultados y diferenciarse en el mercado. No lo deje escapar. *** Nota: Los envíos a España peninsular, Baleares y Canarias se realizan a través de mensajería urgente. No aceptamos pedidos con destino a Ceuta y Melilla.…

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Rustica (tapa blanda). Condizione: New. Condizione sovraccoperta: Nuevo. 01. Domina la IA generativa con LLM y modelos de difusión Los modelos como ChatGPT y DALL-E están revolucionando la inteligencia artificial, pero aprovechar todo su potencial puede ser un desafío. Este libro, de James Phoenix y Mike Taylor, le guía paso a paso para trabajar eficazmente con IA generativa, presentando los fundamentos del prompt engineering y su aplicación práctica. Descubrirá principiosclave transferibles entre modelos, comparaciones entre opciones como GPT-4 y alternativas de código abierto, y casos prácticos en PNL, generación de texto, imágenes y código. Una herramienta esencialpara desarrolladores que buscan transformar sus proyectos y destacar en un mercado competitivo. LIBRO.…

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Tapa blanda. Condizione: New. Los modelos de lenguaje de gran tamaño (LLM) y los modelos de difusión, como ChatGPT y DALL-E, representan una revolución sin precedentes en el ámbito de la inteligencia artificial. Entrenados con texto e imágenes públicas disponibles en Internet, estos modelos son capaces de abordar una amplia variedad de tareas, ofreciendo soluciones innovadoras y automatizadas a problemas previamente inabordables. A pesar de su accesibilidad, muchos desarrolladores enfrentan desafíos significativos al intentar obtener resultados fiables y utilizables en sistemas automatizados. Este libro ofrece una guía exhaustiva para adquirir una sólida base en IA generativa y aprender a aplicar estos modelos en la práctica. Los autores, James Phoenix y Mike Taylor, presentan los principios del prompt engineering, esenciales para trabajar de manera efectiva con IA en entornos de producción. En este libro descubrirá: - Los cinco principios de prompting que son transferibles entre diferentes modelos y que mantendrán su efectividad en el futuro. - Aplicaciones prácticas de la IA generativa en ejemplos del mundo real, utilizando bibliotecas y frameworks como LangChain. - Cómo evaluar y comparar modelos: analizará y comparará modelos de OpenAI, como GPT-4 y DALL-E 2, con alternativas de código abierto, identificando sus fortalezas y debilidades. - Implementación en diversos ámbitos: aprenderá cómo aplicar estos principios en procesamiento del lenguaje natural (PNL), generación de texto e imágenes, y generación de código. Este libro es una herramienta indispensable para cualquier desarrollador que quiera llevar sus proyectos al siguiente nivel y aprovechar el poder de la IA generativa para transformar sus resultados y diferenciarse en el mercado. No lo deje escapar.…

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Paperback. Condizione: Brand New. 396 pages. 9.19x7.00x9.19 inches. In Stock.

Paperback. Condizione: New. Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation.With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice. When first integrating LLMs and diffusion models into their workflows, most developers struggle to coax reliable enough results from them to use in automated systems. Authors James Phoenix and Mike Taylor show you how a set of principles called prompt engineering can enable you to work effectively with AI.Learn how to empower AI to work for you. This book explains:The structure of the interaction chain of your program's AI model and the fine-grained steps in betweenHow AI model requests arise from transforming the application problem into a document completion problem in the model training domainThe influence of LLM and diffusion model architecture-and how to best interact with itHow these principles apply in practice in the domains of natural language processing, text and image generation, and code.…

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

Condizione: New. KlappentextLarge language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful con.

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Paperback. Condizione: New. Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation.With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice. When first integrating LLMs and diffusion models into their workflows, most developers struggle to coax reliable enough results from them to use in automated systems. Authors James Phoenix and Mike Taylor show you how a set of principles called prompt engineering can enable you to work effectively with AI.Learn how to empower AI to work for you. This book explains:The structure of the interaction chain of your program's AI model and the fine-grained steps in betweenHow AI model requests arise from transforming the application problem into a document completion problem in the model training domainThe influence of LLM and diffusion model architecture-and how to best interact with itHow these principles apply in practice in the domains of natural language processing, text and image generation, and code.…

Rústica. Condizione: New. Condizione sovraccoperta: Nuevo. 01. Domina la IA generativa con LLM y modelos de difusión Los modelos como ChatGPT y DALL-E están revolucionando la inteligencia artificial, pero aprovechar todo su potencial puede ser un desafío. Este libro, de James Phoenix y Mike Taylor, le guía paso a paso para trabajar eficazmente con IA generativa, presentando los fundamentos del prompt engineering y su aplicación práctica. Descubrirá principiosclave transferibles entre modelos, comparaciones entre opciones como GPT-4 y alternativas de código abierto, y casos prácticos en PNL, generación de texto, imágenes y código. Una herramienta esencialpara desarrolladores que buscan transformar sus proyectos y destacar en un mercado competitivo. LIBRO. …

Paperback. Condizione: Brand New. 396 pages. 9.19x7.00x9.19 inches. In Stock. This item is printed on demand.