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 ...
Abstract: In this paper, we demonstrate the superiority of Block Adaptive Vector Quantization (BAVQ) over conventional scalar Block Adaptive Quantization (BAQ) for compressing the on-board ...
Thanks to AWQ, TinyChat can deliver more efficient responses with LLM/VLM chatbots through 4-bit inference. TinyChat on RTX 4090 (3.4x faster than FP16): TinyChat on Jetson Orin (3.2x faster than FP16 ...
This project presents an advanced image compression system designed to enhance the standard JPEG algorithm by introducing a more perceptually-driven approach. The traditional JPEG standard relies on a ...
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We recently compiled a list of the 15 AI News That Should Not Be Ignored. In this article, we are going to take a look at where Elastic N.V. (NYSE:ESTC) stands against the other AI stocks that should ...
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Stochastic Optimization of Vector Quantization Methods in Application to Speech and Image Processing
Abstract: Vector quantization (VQ) methods have been used in a wide range of applications for speech, image, and video data. While classic VQ methods often use expectation maximization, in this paper, ...
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