With LLMs increasingly working multimodally, there are exciting developments for more performance and leaner sizes.
Abstract: Deep hashing has been intensively studied and successfully applied in large-scale image retrieval systems due to its efficiency and effectiveness. Recent studies have recognized that the ...
Good day, ladies and gentlemen. Thank you for standing by. Welcome to the MiniMax 2025 Full Year Financial Results Conference Call. Please note that English simultaneous interpretation will be ...
Having built a business by remixing content created by others, Anthropic worries that Chinese AI labs are stealing its data. The US-based maker of Claude models on Monday accused China-based DeepSeek, ...
MiniMax, an AI company based in Shanghai, China, has announced the MiniMax M2.5, a frontier model designed to dramatically improve real-world productivity. M2.5 uses reinforcement learning in complex ...
Trump approved a deal letting the Chinese-made TikTok algorithm keep operating in the U.S. under American oversight. The algorithm won’t be sold but licensed to a U.S. joint venture, with ByteDance ...
Unsupervised Environment Design (UED) is a promising approach to generating autocurricula for training robust deep reinforcement learning (RL) agents. However, existing implementations of common ...
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