SAP launches RPT-1: the end of machine learning?

"The interesting thing about this foundation model is that you don't have to spend weeks training it first. You give SAP-RPT-1 the available data and a few examples, and it immediately predicts new cases. The problem with traditional machine learning is that you first have to train a machine learning model. You need a lot of high-quality, pre-screened data, you have to train and test a model, and you need machine learning experts to do that."

"RPT-1 (Relational Pre-trained Transformer), on the other hand, is a generic relational model. It is pre-trained on tabular data and can make predictions immediately. No training, no fine-tuning, and no machine learning experts are needed. You give it examples, and the model immediately predicts new cases. This is called in-context learning. Instead of spending weeks training a model, RPT-1 works immediately. SAP claims that this makes traditional machine learning projects largely unnecessary for standard business predictions."

SAP is launching SAP-RPT-1, an enterprise Relational Pre-trained Transformer pre-trained on tabular data to make immediate business predictions without additional training or fine-tuning. The model uses in-context learning: it accepts available data plus a few examples and predicts new cases instantly. The model handles yes/no decisions, choice recommendations, and probability estimates for outcomes like delivery timeliness, payment risk, or order completion. SAP positions SAP-RPT-1 as reducing the need for traditional machine learning workflows that require extensive, labeled datasets, training, testing, and specialized ML experts. SAP-RPT-1 will be available through SAP AI Foundation and released openly on Hugging Face.

Read at Techzine Global