Deploying DFlash block diffusion on NVIDIA hardware accelerates autoregressive LLMs during latency-sensitive inference.
RDA training and inference pipeline. Left: RDA is trained with a frozen pretrained VQ tokenizer to model the residual between the input image and the base reconstruction. Right: during inference or AR ...
configs/ Experiment configuration files src/tiny_lm/ Tiny GPT-style language model implementation src/benchmark/ Prefill/decode benchmark utilities src/optimization/ Scheduling and prefill/decode ...
Generative transformers have experienced rapid popularity growth in the computer vision community in synthesizing high-fidelity and high-resolution images. The best generative transformer models so ...
DeepSeek speculative decoding framework DSpark went live June 27 on V4-Flash and V4-Pro, reporting up to 85 percent faster ...
Thomas J Catalano is a CFP and Registered Investment Adviser with the state of South Carolina, where he launched his own financial advisory firm in 2018. Thomas' experience gives him expertise in a ...
Abstract: This letter presents ARTEMIS, an end-to-end autonomous driving framework that combines autoregressive trajectory planning with Mixture-of-Experts (MoE ...