Abstract: Automatic grading requires the adaption of the latest technologies. It has become essential especially when most of the courses became online courses (MOOCs). The objectives of the current ...

Python3.6+ gcc / g++ (>= 5.1 for c++14) cuda >= 7.0 Tested on Ubuntu 18.04 / GCC 7.5 / CUDA 11.1 / Python 3.6 I trained W2V model on quora-duplicate-questions dataset from gensim downloader api on GPU ...

In this video, we will about training word embeddings by writing a python code. So we will write a python code to train word embeddings. To train word embeddings, we need to solve a fake problem. This ...

T-cell receptor (TCR) sequencing has emerged as a powerful tool for understanding adaptive immune responses, yet challenges persist in deciphering the immense diversity of Complementarity-Determining ...

#pipeline_for_PowerShell_AST.py: This python file is used to construct the pkl files for the samples utilized during the training and testing processes. You can modify the data address parameters ...

Large language models by themselves are less than meets the eye; the moniker “stochastic parrots” isn’t wrong. Connect LLMs to specific data for retrieval-augmented generation (RAG) and you get a more ...

Document similarity is a crucial concept in natural language processing (NLP) that measures how closely two or more documents are related in terms of their content. It is widely used in applications ...

Intangible cultural heritage (ICH) is a subset of culture and a distinct body of knowledge that shares characteristics with other cultures. As a transmitter of ICH knowledge, the text has the ...

I took an excellent class once that told me to show the finished product first. With that in mind, the TLDR; of this article is: All of the current A.I. chatbots don't actually have magical powers or ...