Learn how cosine similarity works and how to use it in data science, machine learning, and NLP tasks. Practical examples ...

ABSTRACT: This paper examines the extent to which competencies taught in Congolese universities match the skills required by the labour market. Using official curricula from the Ministry of Higher and ...

Abstract: Text similarity is a crucial area of study that evaluates how similar texts are both semantically and syntactically. As data volumes increase, understanding the similarities and ...

If you don’t know who Keith Richards is and you saw a picture of him for the first time, you might believe that he was a boxer. The man is weathered, tough, leathery, and carries an air that says, ...

Explore 20 different activation functions for deep neural networks, with Python examples including ELU, ReLU, Leaky-ReLU, Sigmoid, and more. #ActivationFunctions #DeepLearning #Python As shutdown ...

Processing flow for representational similarity analysis (RSA). Experimental stimuli or conditions are presented to both the subjects and the model we want to test. Using an estimator for the ...

Abstract: In recent years, optimizing classification pipelines has become increasingly critical due to the growing volume of textual data and the computational challenges associated with exhaustive ...

I am trying to finetune mini-lm-l6-v2 model using trainer and using cosine similarity loss. I have a dataset of 30M annotated pairs containing both positive and ...

There seems to be a bug using PQ computation when cosine similarity is used as the index metric in combination with CUDA. Using PQ based index with CUDA accelleration and the cosine similarity metric ...