From AI-powered processors to atomic-scale transistors, the world of microelectronics is continually being redefined by how small, how powerful, and how energy-efficient devices can become. Whether it ...

Abstract: The rapid spread of false information on social media has become a major challenge in today’s digital world. This has created a need for an effective rumor detection system that can identify ...

Knowledge distillation, a crucial technique in artificial intelligence for transferring knowledge from large language models (LLMs) to smaller, resource-efficient ones, faces several significant ...

Abstract: This research proposes a system for detecting AI-generated text, utilizing the DistilBERT model, a streamlined variant of the larger BERT architecture. The system is designed to address the ...

I have followed the instructions provided in https://github.com/intel/models/blob/master/quickstart/language_modeling/pytorch/distilbert_base/inference/cpu/README.md ...

Do a forward pass with distilBERT passing "inputs_embs" instead of "input_ids", where "inputs_embs" contains the output of the forward over the word embedding matrix, i.e. just picking the token ...