SKU/Artículo: AMZ-B0FZWJLHXV
Streamlining MLOps Architecture for Large Language Models:: A Comprehensive Guide to Optimizing the Machine Learning Pipeline with Best Practices and Implementation Strategies
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.76 kg
0.76 kg
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Sí
Sí
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Nuevo
Nuevo
Producto de:
Amazon
Amazon
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USA
USA
Sobre este producto
- *Unlock the Power of Efficient AI Deployment: "Streamlining MLOps Architecture for Large Language Models"* Discover the ultimate guide to optimizing your machine learning pipeline with cutting-edge MLOps practices and implementation strategies. This comprehensive book provides a step-by-step roadmap to streamline your AI development workflow, ensuring faster deployment, scalability, and reliability. Dive into the world of MLOps and explore: *MLOps Fundamentals*: Understand the principles of Machine Learning Operations and how to apply them to large language models- *Pipeline Optimization*: Learn how to automate data preparation, model training, testing, and deployment for seamless integration *Best Practices*: Implement version control, continuous integration, and continuous deployment (CI/CD) for efficient model management *Scalability Strategies*: Discover how to deploy models at scale, leveraging cloud infrastructure and containerization *Monitoring and Feedback*: Master the art of model performance tracking and feedback loops for continuous improvement With this book, you'll gain:* *Hands-on experience*: Get started with MLOps and build real-world AI projects that showcase your skills *Expert insights*: Learn from experienced developers and industry experts who have worked with MLOps and AI- *Best practices*: Discover the most effective ways to optimize your code, debug, and deploy your AI applications *Whether you're a seasoned data scientist, machine learning engineer, or DevOps professional, this book provides the insights and tools you need to: *Accelerate AI adoption*: Streamline your machine learning
AR$25.624
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AR$13.141
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AR$25.624
49% OFF
AR$13.141
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