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"We Have No Idea How Models will Behave in Production until Production": How Engineers Operationalize Machine Learning.

, , , and . CoRR, (2024)

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Moving Fast With Broken Data., , , and . CoRR, (2023)Rethinking Streaming Machine Learning Evaluation., , and . CoRR, (2022)Optimal Transfer Learning Model for Binary Classification of Funduscopic Images through Simple Heuristics., , and . CoRR, (2020)Towards Observability for Machine Learning Pipelines., and . CIDR, www.cidrdb.org, (2022)Adversarial Examples that Fool both Computer Vision and Time-Limited Humans., , , , , , and . NeurIPS, page 3914-3924. (2018)"We Have No Idea How Models will Behave in Production until Production": How Engineers Operationalize Machine Learning., , , and . CoRR, (2024)Revisiting Prompt Engineering via Declarative Crowdsourcing., , , , and . CIDR, www.cidrdb.org, (2024)Towards Accurate and Efficient Document Analytics with Large Language Models., , , , , , and . CoRR, (2024)Building Reactive Large Language Model Pipelines with Motion., and . SIGMOD Conference Companion, page 520-523. ACM, (2024)Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences., , , , and . CoRR, (2024)