astorfi/Large-Scale-AI-Blueprint

A comprehensive guide designed to empower readers with advanced strategies and practical insights for developing, optimizing, and deploying scalable AI models in real-world applications.

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This guide helps experienced machine learning engineers build and deploy AI models that perform efficiently at scale. It offers practical insights into selecting appropriate hardware, optimizing training processes, and ensuring smooth, fast model inference in production environments. You'll learn how to get the best performance from your AI systems.

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Use this if you are an AI/ML engineer looking to scale up your AI models for real-world applications, especially with large foundational models or LLMs.

Not ideal if you are new to machine learning or deep learning, as it assumes prior knowledge in these areas.

AI-scaling MLOps model-optimization distributed-training AI-infrastructure
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 18 / 25

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MIT

Last pushed

Apr 12, 2024

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