Skip to content

Data and training

The training side: building datasets, synthetic data, pre- and post-training methods, compute and training cost.

61selectedRelated topicsResearchDeploymentModel releases

Latest selected

21–40 of 61

Oct 15

Thursday

Oct 13

Tuesday

Oct 10

Saturday

Oct 8

Thursday

Oct 7

Wednesday

Oct 6

Tuesday

Oct 2

Friday

Oct 1

Thursday

Sep 30

Wednesday

Sep 29

Tuesday
  1. NVIDIA Kumo Tabular Sets a New Accuracy-Efficiency Frontier for Tabular Prediction

    NVIDIA released Kumo Tabular, an open-source tabular foundation model that predicts labels for new rows in a single forward pass given labelled rows, without training, tuning or feature engineering. It supports classification and regression, offers three sizes from 28M to 215M, and was pretrained solely on artificially generated tables.

  2. Introducing Quine: An AI research system designed for the complexity of biology

    Biology doesn't operate in silos, and neither should the AI representation of it. Quine is an early-stage research effort to create a multimodal world model of biology. By connecting insights across biological scales and modalities, Quine helps scientists computationally search a space far larger than intuition allows and prioritize hypotheses before they reach the lab.

Sep 24

Thursday

Sep 22

Tuesday

Sep 16

Wednesday