DeepSeek’s conditional memory fixes silent LLM waste: GPU cycles lost to static lookups

Through systematic experiments DeepSeek found the optimal balance between computation and memory with 75% of sparse model ...
IEEE

Fusion of XAI and LLM: Automatic Topic Name Extraction from Text Data Using Approximate Inverse Model Explanations (AIME)

Abstract: In this paper, we propose an automatic topic-name extraction method that combines explainable AI (XAI) and a large language model (LLM) for text datasets. In the past, topic models such as ...