Method, apparatus, and computer program product for machine learning model lifecycle management

This invention describes a software system designed to help users manage their machine learning projects. It works by letting a user initiate a new experiment from a user interface, then specify details like how the experiment should run (e.g., all at once or continuously) and where to find the necessary data. The system then automatically selects the appropriate engine to execute the experiment, retrieves the data, runs the experiment, and generates performance scores.

Why it matters: Filed before the widespread adoption of complex foundation models and the critical need for MLOps. The claims address managing diverse ML experiments, which is now essential given the proliferation of specialized models and execution environments.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, user interfaces, ML execution engines

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