Stop throwing money at GPUs for unoptimized models; using smart shortcuts like fine-tuning and quantization can slash your ...
Experimental - This project is still in development, and not ready for the prime time. A minimal, secure Python interpreter written in Rust for use by AI. Monty avoids the cost, latency, complexity ...
Took 1st place in Track C and Grand Prize among all 20 competing teams with synthetic data generation technology specialized for MoE quantization Built a dataset using an agent based on Nemotron 3 ...
The butterfly bypass from the RotorQuant paper: TurboQuant applies a d×d Walsh-Hadamard Transform (butterfly network with log₂(d) stages across all 128 dimensions). PlanarQuant/IsoQuant apply ...
Abstract: The increasing capacity demand of optical communication systems has driven research on space-division multiplexing (SDM) using few-mode fibers (FMFs). While FMFs provide high spatial ...
Abstract: The scale of large language models (LLMs) has steadily increased over time, leading to enhanced performance in multimodal understanding and complex reasoning, but with significant execution ...
The US federal government’s central energy information agency is planning to implement a mandatory nationwide survey of data centers focused on their energy use, according to a letter seen by WIRED.
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