Abstract: In the modern era, Visual Question Answering (VQA) requires an intelligent method to together understand images and natural language queries, making one of the most challenging tasks at the ...
Abstract: We present an on-chip implementation of a compressed Transformer-based language model on a Xilinx Artix-7 FPGA. Our contributions include: (1) combining ultra-low-precision quantization (4 ...
In this repository, we present LanDiff, a novel text-to-video generation framework that synergizes the strengths of Language Models and Diffusion Models. LanDiff offers these key features: LanDiff ...