Transfer Learning methods are primarily responsible for the breakthrough in Natural Learning Processing(NLP) these days. It can give state-of-the-art solutions by using pre-trained models to save us ...

The model size goes from: 540 MB to 411 MB. The quantized model works fine when I use it straight away in the script to make predictions, however I'm having trouble ...

Several months ago, we released our BERT model pre-trained with our own web corpus. This time we decided to release a DistilBERT model. According to the paper of DistilBERT, the DistilBERT model can ...

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 ...

Abstract: This research presents a robust framework for the multi-classification of URLs into benign and malicious categories, specifically addressing defacement, malware, phishing, and spam. We ...

Large language models (LLMs) have emerged as powerful tools for generating human-quality text, raising concerns about their potential for misuse in academic settings. This paper investigates the use ...

Aurélien Geron, an ML consultant, a former Googler and the author of Hands-on Machine Learning with Scikit-Learn, Keras and Tensorflow highlighted a bias in DistilBERT, a small, fast, cheap and light ...