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DESPLIEGUE LOCAL DEL PROGRAMA LLM (Spanish Edition): La guÃa completa para desarrolladores sobre cómo crear, entrenar y ejecutar sistemas de IA de cód
Paperback
General ComputersNetworkingProgramming
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ISBN13: 9798185364055
Publisher: Independently Published
Pages: 154
Weight: 0.82
Height: 0.33 Width: 8.50 Depth: 11.00
Language: Spanish
Publisher: Independently Published
Pages: 154
Weight: 0.82
Height: 0.33 Width: 8.50 Depth: 11.00
Language: Spanish
Qué ocurre cada vez que envÃas una solicitud a un modelo de IA en la nube?
Tus datos más sensibles pasan a un proveedor externo, aceptas costos de uso impredecibles y dependes de modelos que pueden cambiar o dejar de estar disponibles sin previo aviso
Local LLM Deployment es la guÃa práctica y definitiva para implementar grandes modelos de lenguaje (LLM) en tu propia infraestructura, con privacidad total, funcionamiento sin conexión y control absoluto de tus sistemas de IA. Diseñado para desarrolladores, ingenieros de IA, profesionales de DevOps, administradores de sistemas y arquitectos empresariales, este libro te muestra cómo crear soluciones de IA listas para producción sin depender de servicios en la nube
Tus datos más sensibles pasan a un proveedor externo, aceptas costos de uso impredecibles y dependes de modelos que pueden cambiar o dejar de estar disponibles sin previo aviso
Local LLM Deployment es la guÃa práctica y definitiva para implementar grandes modelos de lenguaje (LLM) en tu propia infraestructura, con privacidad total, funcionamiento sin conexión y control absoluto de tus sistemas de IA. Diseñado para desarrolladores, ingenieros de IA, profesionales de DevOps, administradores de sistemas y arquitectos empresariales, este libro te muestra cómo crear soluciones de IA listas para producción sin depender de servicios en la nube
En este libro aprenderás a:
Además, incluye recursos prácticos como:
Empieza hoy mismo a desplegar tus propios modelos de IA con confianza
- Elegir entre los formatos GGUF, AWQ y EXL2 según tu hardware y tus necesidades de rendimiento
- Calcular con precisión la VRAM necesaria para evitar errores de memoria y optimizar el uso de la GPU
- Implementar Ollama, LM Studio, LocalAI y vLLM para ejecutar modelos locales de forma eficiente
- Construir un pipeline RAG completamente local con ChromaDB, Qdrant y modelos de embeddings sin conexión
- Realizar fine-tuning de modelos mediante QLoRA, LoRA, Axolotl y LLaMA-Factory
- Diseñar sistemas multiagente con enrutamiento inteligente, llamadas a funciones y flujos de trabajo avanzados
- Proteger entornos privados y despliegues empresariales mediante buenas prácticas de seguridad
- Supervisar, escalar y optimizar el rendimiento con Prometheus, Grafana y balanceo de carga entre múltiples GPU
Además, incluye recursos prácticos como:
- Una calculadora de VRAM
- Una guÃa para diagnosticar y solucionar errores frecuentes de entrenamiento
- Un glosario de los conceptos esenciales de la IA moderna
Empieza hoy mismo a desplegar tus propios modelos de IA con confianza
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