📊Analyse de donnéesAdvancedAll AIs

Build an ML training pipeline

Automate ML training pipelines

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Design an ML training pipeline using [Kubeflow/Prefect/Airflow/ZenML] for a [task type] model. Define pipeline steps: data ingestion, validation, preprocessing, training, evaluation, and conditional registration. Include parameters for reuse, caching of intermediate steps, and pipeline versioning.

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Automate ML training pipelines

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Glossary Terms

Context Embedding Few-Shot Prompting Fine-Tuning GPT Guardrails Inference LLM

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