We develop AI mashup frameworks to standardize machine learning (ML) components and their data exchange. Our frameworks simplify AI integration with composable ML containers. We also provide ML consultancy services to enterprise customers. For more information, please contact us at the@yam.ai.
YamFlow proposes a reference workflow for ML. This reference workflow provides a canonical taxonomy for practitioners to understand and communicate typical ML activity and data flows. Besides, YamFlow also serves as a baseline for us to architect a programming framework for programming interoperable ML tasks.
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