An interactive Natural Language Processing (NLP) application for abstractive document summarization using state-of-the-art Transformer models from Hugging Face. An interactive Natural Language ...
In an increasingly competitive job market, some applicants are quietly trying to outsmart AI hiring tools. Now, new research ...
This project builds a Retrieval-Augmented Generation (RAG) system that answers questions using a large collection of real-world documents. The system ingests Wikipedia articles, stores them in a ...
The cleaned text was then represented as a TF-IDF feature vector using scikit-learn's TfidfVectorizer, configured with unigram and bigram tokenization and a maximum of 5,000 features. TF-IDF assigned ...