Ray Data AI

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   A Practical Guide to Adding Model Inference to Ray Data Pipelines

   A Juejin AI report presents EMR Serverless Ray documentation showing how Ray Data AI can add model calls directly to Python data pipelines alongside reading, filtering, transformation, and writing. According to the vendor documentation cited by the report, its AI functions support summarization, image and video understanding, embeddings, transcription, and reranking, with concurrency controls, retry handling for HTTP 429 responses, result association, and token-usage reporting. The guide includes runnable examples using services such as Qwen and requires a compatible EMR Ray environment with the relevant extension installed.

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