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Data Compatibility

What is data compatibility in ML?

Features are the main data inputs for models for training and inference. Data compatibility often refers to feature consistency, where the schema of features used in feature pipelines, training pipelines, and inference pipelines is compatible - enabling feature pipelines to create features that can then be used without data type errors in training and inference.

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AI Lakehouse
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Backfill features
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Batch Inference Pipeline
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CI/CD for MLOps
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Context Window for LLMs
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DAG Processing Model
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Upstream
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Validation Set
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