Research and Development
Experiments in model architecture, training, evaluation, and efficient inference
Papers
2 publishedThe Joint Effect of Quantization and Sampling Temperature on LLM Safety Alignment
How weight quantization and sampling temperature jointly affect LLM safety alignment — a factorial analysis of the interaction.
arXiv
LLM Inference at the Edge
Sustained-load benchmarks across mobile, NPU, and GPU platforms reveal how LLM inference performance really degrades under back-to-back requests.
arXiv
All research
No research has been published in this topic yet.