From FLOPs to Footprints: The Resource Cost of Artificial Intelligence Paper • 2512.04142 • Published 23 days ago • 1
From FLOPs to Footprints: The Resource Cost of Artificial Intelligence Paper • 2512.04142 • Published 23 days ago • 1
Global PIQA: Evaluating Physical Commonsense Reasoning Across 100+ Languages and Cultures Paper • 2510.24081 • Published Oct 28 • 17
More than Carbon: Cradle-to-Grave environmental impacts of GenAI training on the Nvidia A100 GPU Paper • 2509.00093 • Published Aug 27 • 4
Tucano: Advancing Neural Text Generation for Portuguese Paper • 2411.07854 • Published Nov 12, 2024 • 9
Tucano: Advancing Neural Text Generation for Portuguese Paper • 2411.07854 • Published Nov 12, 2024 • 9
Tucano: Advancing Neural Text Generation for Portuguese Paper • 2411.07854 • Published Nov 12, 2024 • 9
Tucano: Advancing Neural Text Generation for Portuguese Paper • 2411.07854 • Published Nov 12, 2024 • 9
TeenyTinyLlama: open-source tiny language models trained in Brazilian Portuguese Paper • 2401.16640 • Published Jan 30, 2024 • 11
TeenyTinyLlama: open-source tiny language models trained in Brazilian Portuguese Paper • 2401.16640 • Published Jan 30, 2024 • 11
TeenyTinyLlama: open-source tiny language models trained in Brazilian Portuguese Paper • 2401.16640 • Published Jan 30, 2024 • 11
Dynamic Normativity: Necessary and Sufficient Conditions for Value Alignment Paper • 2406.11039 • Published Jun 16, 2024
Worldwide AI Ethics: a review of 200 guidelines and recommendations for AI governance Paper • 2206.11922 • Published Jun 23, 2022
TeenyTinyLlama: open-source tiny language models trained in Brazilian Portuguese Paper • 2401.16640 • Published Jan 30, 2024 • 11