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SAP-RPT is a fully managed relational pretrained transformer model that uses in-context learning to deliver accurate, explainable predictive insights from structured business data.
The SAP-RPT tabular model includes:
Pretraining for structured data to eliminate costly and time-consuming model training.
In-context learning that delivers real-time, dependable predictions amid changing and incomplete data.
Built-in governance, reliability and explainability that enable end-to-end pipeline management with.
Two commercial versions in the generative AI hub, each tuned for a different speed and accuracy balance.
Deploy predictions instantly, reducing weeks of data preparation to hours, without model training or specialised ML expertise.
Achieve up to 2X prediction quality compared to narrow AI models and 3.5X compared to language models, even when business data is incomplete or changing. SAP-RPT’s resilient architecture, in-context learning and explainable insights help identify the signals driving outcomes while addressing data-quality challenges.*
Use a single model for classification and regression across business units and scenarios, simplifying deployment and reducing the need for multiple use-case-specific predictive models.
SAP-RPT processes classification and regression tasks using existing business data sources or sample records provided directly in API calls. The model identifies data patterns within each request’s data context to generate accurate predictions.
Built with an inherent understanding of tabular structures, data relationships and business logic, SAP-RPT handles structured datasets, changing values and enterprise data formats without customised preprocessing or feature engineering.
Operationalise SAP-RPT with AI Core orchestration capabilities to embed predictive intelligence into pipelines and manage them with built-in governance, reliability and explainability.
We offer three different SAP BTP pricing options. These account types enable you to test your scenarios and generally offer the option to upgrade to paid service plans.
Low latency
High prediction throughput
Fully capable of handling most predictive scenarios
High accuracy
Lowest error rates
Complex prediction use cases
Access the model card for the SAP-RPT latest version for guidance on its intended use, performance, limitations and responsible deployment with structured business data.
SAP-RPT-1.6 latest version, now available through the model library in AI Core with enhancements and that help businesses make more trusted decisions with tabular AI.
ConTextTab unites language model semantics with table-native efficiency to achieve high performance on real business tabular prediction tasks.
Read more about SAP's revolutionary table-native foundation model that uses in-context learning to handle enterprise prediction tasks without customised training.
*Numbers assumed for consumer products company with €1 billion in revenue and 2,000 employees. Annual benefits result from one or more value drivers. Source: SAP Value Management.
**Legal disclaimer: Token and after-promotion optimisation costs apply