TiDAR: Think in Diffusion, Talk in Autoregression (Paper Analysis) – nvidia
The video analyzes the TiDAR paper, “Think in Diffusion, Talk in Autoregression,” by NVIDIA researchers. The core idea is that during large language model (LLM) inference, GPUs are often underutilized due to memory bottlenecks. TiDAR proposes a method to exploit this unused GPU capacity to accelerate inference without sacrificing the quality of output, unlike previous […]
TiDAR: Think in Diffusion, Talk in Autoregression (Paper Analysis)
TiDAR: Think in Diffusion, Talk in Autoregression (Paper Analysis) Source link
Titans: Learning to Memorize at Test Time (Paper Analysis) – google
The video analyzes the “Titans: Learning to Memorize at Test Time” paper, highlighting its novel approach of using a neural network as a dynamic memory updated via gradient-based learning during inference to overcome transformer context window limitations. While expressing some skepticism about the paper’s novelty claims, the presenter acknowledges that this method of learning to […]
Titans: Learning to Memorize at Test Time (Paper Analysis) – google
The video analyzes the “Titans: Learning to Memorize at Test Time” paper, highlighting its novel approach of using a neural network as a dynamic memory updated via gradient-based learning during inference to overcome transformer context window limitations. While expressing some skepticism about the paper’s novelty claims, the presenter acknowledges that this method of learning to […]