SAP-RPT-1 is a relational pretrained foundation model that delivers accurate predictive insights from structured business data. It uses in-context learning, allowing users to provide example records directly in API calls, to generate instant, reliable predictions without any model training.

Senior/Principal Applied Research Scientist (f/m/d): Foundation Models on Linked Business Data

AI is more than just chatbots! Learn about how AI can be used to protect biodiversity, fight climate change, and just better understand our planet through 5-minute explainers covering academic papers ...

I presented a three hour workshop at PyCon US yesterday titled Building software on top of Large Language Models. The goal of the workshop was to give participants everything they …

For the past two and a half years the feature I’ve most wanted from LLMs is the ability to take on search-based research tasks on my behalf. We saw the …

Part 1: Inference-Time Compute Scaling Methods

Foundation models, particularly those that incorporate Transformer architectures, have demonstrated exceptional performance in domains such as natural language processing and image processing....

Self-supervised learning on tabular data seeks to apply advances from natural language and image domains to the diverse domain of tables. However, current techniques often struggle with integrating...

Huge announcment from Google this morning: Introducing Gemini 2.0: our new AI model for the agentic era. There’s a ton of stuff in there (including updates on Project Astra and …

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PhD Intern (f/m/d) - Business AI Research