📊Analyse de donnéesIntermediateAll AIs

Build a model serving API

Serve ML models via REST API

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Build a FastAPI model serving API that loads a scikit-learn/XGBoost model from [path], accepts a JSON payload with features [list features with types], validates input with Pydantic, runs inference, and returns predictions with confidence scores. Include request logging, error handling, and a /health endpoint.

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Serve ML models via REST API

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

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