Ensemble AI is a platform designed to reduce the parameter count of AI models, enabling smaller, more efficient models without sacrificing performance. Powered by NdLinear, it offers 'Model Shrinking as a Service,' allowing users to upload any AI model and receive a reduced-parameter version that maintains the original's benchmark performance.
Key Features:
- Model Shrinking: Reduces parameter count for any AI model.
- Multimodal Compatibility: Works with any model and data modality, including multimodal approaches.
- Performance Guarantee: Ensures model accuracy and performance remain uncompromised.
- Simplified Workflow: Upload your model and get a smaller version every time.
Use Cases:
- Forecasting: Price predictions, supply and demand forecasting, customer churn prediction.
- Recommendations: Ad placement, content suggestions, product personalization.
- Specialized Tasks: Chemical discovery, sensor data analysis, virus-host interactions.
Ensemble AI aims to optimize training and inference across tasks, delivering state-of-the-art performance with simpler models trained on limited, sparse, and high-dimensional data.
