Avoiding Data Leakage in Synthetic Data Projects
Synthetic data offers vast opportunities for machine learning model training without real-world constraints. Yet, beneath this promise lies the risk of…
Read more →Comet ML, founded in 2017 and based in New York, is an MLOps platform provider whose Opik product is an open-source AI observability and evaluation tool for the agentic era. Opik provides trace debugging, automated evaluation workflows with more than 30 metrics, production guardrails, and prompt-optimization algorithms, and is used alongside Comet’s broader experiment-tracking platform.
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