Create accurate forecasts using zero-shot learning using Sulie

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Sulie

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Foundation models for time-series data forecasting. Sulie simplifies accurate forecasting with zero-shot learning and automated fine-tuning. Using our SDK, users can easily create forecasts, manage datasets, and generate embeddings from time-series data for downstream tasks like classification. By automating complex processes, Sulie enables teams to harness powerful forecasting models with minimal setup and no need for advanced technical expertise, saving time and improving decision-making.

forecastingfoundation modelsmachine learningtime-series

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What to expect from an ideal product

1. Uses pre-trained foundation models to create forecasts without needing historical training data
2. Automatically fine-tunes forecasting models based on your data patterns and needs
3. Provides a simple SDK that handles all the complex math and model training behind the scenes
4. Turns raw time-series data into useful embeddings that help improve forecast accuracy
5. Lets you start making forecasts right away without spending time on model setup or data preparation