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On 4 April 2025 Salesforce posted APIGen-MT, a two-phase pipeline for generating multi-turn agent training data, and released the xLAM-2-fc-r model series, from 1B to 70B parameters, trained on that data.
In April 2025 the IEA published Energy and AI, a data-driven report finding that data centres used about 1.5% of world electricity in 2024 and are projected to more than double that by 2030, with AI hardware driving most of the growth.
On 29 November 2023 Google DeepMind announced GNoME, a deep-learning system that predicted 2.2 million new crystal structures, 380,000 of them among the most stable; hundreds of the predictions were independently made by outside researchers.
On 31 December 2020 EleutherAI released The Pile, an openly available 825 GiB English training corpus assembled from 22 smaller datasets, with a paper showing models trained on it beat both comparison corpora on every component.
