Machine learning (ML) infrastructure techniques

This invention describes a software system that helps data scientists build machine learning applications more easily. It works by taking information about the data and the desired outcome, then automatically selecting and assembling pre-built software pieces from a library. The system specifically tailors the resulting application to run efficiently on different hardware and can even use machine learning to pick the best processing steps.

Why it matters: Filed before the widespread adoption of advanced generative AI, particularly large language models. These models could now significantly enhance the system's ability to interpret user problems, generate code, and select optimal components, making the platform's automation more powerful and accessible.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedComplex software system, machine learning expertise.

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