You don't need the newest GPUs to save money on AI; simple tweaks like "smoke tests" and fixing data bottlenecks can slash ...
The framework establishes a specific division of labor between the human researcher and the AI agent. The system operates on a continuous feedback loop where progress is tracked via git commits on a ...
Being-VL-0.5 is an MLLM that combines text and image understanding using a novel approach called Visual Byte-Pair Encoding (vBPE). Instead of treating images and text as completely separate modalities ...
We present nCPU, a software CPU implementation in which every arithmetic logic unit (ALU) operation is executed by a trained PyTorch neural network. Unlike prior work on neural arithmetic, which ...
Abstract: Tokenization is a critical preprocessing step for large language models, especially for morphologically rich, low-resource languages like Slovak, where standard corpus-based methods struggle ...
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