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Inference Logs

What are inference logs?

Inference logs are the input and output of inference pipelines. Where possible, inference logs should be stored as rows, where each row includes the unencoded feature values and the corresponding model prediction. Inference logs are required by both feature and model monitoring.

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AI Lakehouse
AI Pipeline
Auto-regressive Models
AutoML
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Backfill features
Backfill training data
Backpressure for feature stores
Batch Inference Pipeline
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CI/CD for MLOps
Compound AI Systems
Context Window for LLMs
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DAG Processing Model
Data Compatibility
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Data Type (for features)
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Data Warehouse
Data-Centric ML
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Downstream
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ELT
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Feature
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Generative AI
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Hallucinations in LLMs
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Idempotent Machine Learning Pipelines
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Inference Data
Inference Pipeline
Instruction Datasets for Fine-Tuning LLMs
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LLM Code Interpreter
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ML
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Online Inference Pipeline
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KServe
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SQL UDF in Python
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Upstream
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Validation Set
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