Notes from real builds, deep technical tutorials, and announcements from the INTELLERCE team.
Foundation models have transformed AI for images and text, but tabular data lives by different rules. Inductive bias matters — and custom models often win.
Train T-Num on multivariate numerical time-series data through a simple API endpoint. Covers upload, preprocess, train, and inference.
Reinforcement-learning-based model search for anomaly detection and classification of numerical patterns. 92%+ on a Kaggle network-anomaly benchmark in ~2 hours on a single 3090.
