2026.01.18
Chapter 4: How Machines Learn: Training and Prediction Explained
Explains the fundamental concepts of training and prediction in machine learning, using everyday examples.
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2026.01.26
Chapter 5: Building Compression Plans: The OpenZL Workflow
Learn how to build and execute compression plans using OpenZL's format-aware workflow.
ACCESS_FILE >>2026.03.20
Distributed AI: Scaling Training and Inference Across Resources
Explore Distributed AI architectures for scaling model training and inference. Learn about data and model parallelism, horizontal scaling, and fault …
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