GitHub

cuVSLAM: CUDA-Accelerated Visual Odometry and Mapping

cuVSLAM is the library by NVIDIA, providing various Visual Tracking Camera modes and Simultaneous Localization and Mapping (SLAM) capabilities. Leveraging CUDA acceleration and a rich set of features, ...
GitHub

Make Python Fast Again

Implements all corresponding Python data structure interfaces while significantly improving performance through targeted optimizations. Users can choose the most suitable data structure type based on ...
IEEE

Generative Inference of Large Language Models in Edge Computing: An Energy Efficient Approach

Abstract: Large Language Models (LLMs) have demonstrated remarkable proficiency in generating text and producing fluent, succinct, and precise linguistic expressions. Limited battery life and ...
IEEE

Model-Agnostic Empirical Evaluation of Test-Driven Prompt Engineering on Improving Accuracy and Efficiency in Large Language Models Python Code Generation

Abstract: Although Large Language Models (LLMs) are widely adopted for Python code generation, the generated code can be semantically incorrect, requiring iterations of evaluation and refinement. Test ...