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GENERATIVE-AI-ENGINEER-ASSOCIATE · Question #53

A Generative AI Engineer who was prototyping an LLM system accidentally ran thousands of inference queries against a Foundation Model endpoint over the weekend. They want to take action to prevent thi

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Foundation Model Management and Operationalization

Question

A Generative AI Engineer who was prototyping an LLM system accidentally ran thousands of inference queries against a Foundation Model endpoint over the weekend. They want to take action to prevent this from unintentionally happening again in the future. What action should they take?

Options

  • AUse prompt engineering to instruct the LLM endpoints to refuse too many subsequent queries.
  • BRequire that all development code which interfaces with a Foundation Model endpoint must be
  • CBuild a pyfunc model which proxies to the Foundation Model endpoint and add throttling within
  • DConfigure rate limiting on the Foundation Model endpoints.

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Topics

#Rate Limiting#Foundation Models#API Management#Cost Optimization
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