Prompt Engineering. Guía Completa. Con Ejemplos Prácticos
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Prompt Engineering. Guía Completa. Con Ejemplos Prácticos

Prompt Engineering. Guía Completa. Con Ejemplos Prácticos


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About the Book

En la era de la inteligencia artificial y el aprendizaje automático, el Prompt Engineering ha surgido como una disciplina clave para aprovechar al máximo el potencial de los modelos de lenguaje. Este libro se ha creado con el propósito de proporcionar una guía completa y práctica sobre el arte y la ciencia del Prompt Engineering.

A lo largo de sus páginas, encontrará una amplia gama de ejemplos prácticos que ilustran cómo aplicar las técnicas de Prompt Engineering en diversas áreas profesionales y de la vida cotidiana. Nuestro objetivo es brindarle las herramientas y el conocimiento necesarios para convertirse en un Prompt Engineer exitoso y aprovechar estas habilidades en el mundo laboral del futuro.

Esperamos que este libro sea de gran valor para usted, tanto si es un principiante en el campo de la inteligencia artificial y el aprendizaje automático como si es un profesional experimentado que busca ampliar su comprensión y habilidades en Prompt Engineering.

Indice:

Capítulo 1: Introducción al Prompt Engineering

Capítulo 2: Fundamentos del Prompt Engineering

Capítulo 3: Casos de uso destacados del Prompt Engineering

Capítulo 4: Prompt Engineering para ChatGPT

Capítulo 5: Ética y responsabilidad en el Prompt Engineering

Capítulo 6: Aplicaciones y oportunidades en el futuro del Prompt Engineering

Anexo -Ejemplos

7.1. Marketing
7.1.1. Marketing en redes sociales
7.1.2. Marketing por correo electrónico
7.1.3: Marketing de contenidos
7.1.4. Marketing de búsqueda (SEM)
7.2. Finanzas
7.2.1. Contabilidad y gestión financiera
7.2.2. Financiamiento y capital
7.2.3. Análisis financiero y toma de decisiones
7.2.4. Impuestos y cumplimiento normativo
7.3. Desarrollo de software
7.3.1. Desarrollo de software y programación
7.3.2. Redes y seguridad informática
7.3.3. Administración de sistemas y DevOps
7.3.4. Inteligencia artificial y aprendizaje automático
7.4. Gestión de proyectos
7.4.1. Planificación y ejecución de proyectos
7.4.2. Gestión de riesgos y problemas
7.4.3. Metodologías y marcos de gestión de proyectos
7.4.4. Seguimiento del progreso y comunicación del proyecto
7.5. Logística y cadena de suministro
7.5.1. Planificación y optimización de la cadena de suministro
7.5.2. Almacenamiento y gestión de inventario
7.5.3. Transporte y distribución
7.5.4. Tecnología y automatización en logística
7.6. Recursos Humanos
7.6.1. Contratación y selección de personal
7.6.2. Capacitación y desarrollo del personal
7.6.3. Gestión de relaciones laborales y clima organizacional
7.6.4. Legislación laboral y gestión de beneficios
7.7. Gestión de empresas
7.7.1. Estrategia y planificación empresarial
7.7.2. Operaciones y eficiencia empresarial
7.7.3. Finanzas y contabilidad empresarial
7.7.4. Marketing y ventas
7.8. Data science
7.8.1. Preparación y limpieza de datos
7.8.2. Análisis exploratorio de datos
7.8.3. Modelado y predicción de datos
7.8.4. Optimización y automatización de procesos de datos
7.9. Administración pública
7.9.1. Políticas públicas y gestión gubernamental
7.9.2. Finanzas públicas y gestión presupuestaria
7.9.3. Gestión de recursos humanos en la administración pública
7.9.4. Tecnología y transformación digital en la administración pública


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Product Details
  • ISBN-13: 9798391686057
  • Publisher: Amazon Digital Services LLC - Kdp
  • Binding: Paperback
  • Language: Spanish
  • Returnable: N
  • Weight: 249 gr
  • ISBN-10: 8391686051
  • Publisher Date: 17 Apr 2023
  • Height: 216 mm
  • No of Pages: 166
  • Spine Width: 9 mm
  • Width: 140 mm


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