Deep learning models, especially large language models (LLMs), demand significant computational resources for training. To optimize performance and resource allocation, understanding memory ...

Next-generation U-Net Encoder: Decoder for accurate, automated CTC detection from images of peripheral blood nucleated cells stained with EPCAM and DAPI.. If you have the appropriate software ...

Relevant model characteristics The models have several defining characteristics and ways in which we could implement them. Three of them were important in the current project. The first characteristic ...

Research Pits Traditional Machine Translation Against LLM-Powered AI Translation As large language models (LLMs) continue to transform translation workflows, a new study underscores the ongoing ...

TensorRT-LLM has long been a critical tool for optimizing inference in models such as decoder-only architectures like Llama 3.1, mixture-of-experts models like Mixtral, and selective state-space ...

The LLM component of multimodal models has the same general transformer architecture. The connector in LLaVA is a straightforward matrix multiplication translating image features (the output from the ...

tensorrt 10.6.0.post1 tensorrt-cu12 10.6.0.post1 tensorrt-cu12-bindings 10.6.0.post1 tensorrt-cu12-libs 10.6.0.post1 tensorrt_llm 0.16.0.dev2024111900 We are trying to convert build and run a custom ...