Detecting Gender Biases in NLP
Source: Times Higher Education
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Spacy and transformers : Complete Repo
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How to effectively and efficiently build AI products using Large Language Models
Read moreShould You Update to the Latest Python Bugfix Version?
If you’ve been hanging out in the Python community for a while, you may remember discussions about Python 2 vs Python 3, or you may have seen versions like Python 3.10 and Python 3.11 released with some fanfare. You may have noticed that Python versions have three numbers—for example, 3.10.8. In this tutorial, you’ll focus on Python bugfix versions and the importance of that third number. For any developer, designing a versioning scheme and interpreting the corresponding version numbers is […]
Read moreA Glance of Natural Language Understanding System
These years, there has been widely speared applications employing Natural Language Processing (NLP) technologies, including question answering system, Machine reading comprehension, summarization, dialogue, autocompletion, machine translation, etc.From 2013 to 2014, the applications of various neural network models on NLP have gradually increased, among which the most widely used are: convolutional neural networks (CNN), recurrent neural networks (RNN), and structural recurrent neural networks (SRN). Since the text is ordered, the sequential structure of RNN (recurrent neural network) makes it the […]
Read moreBERT Explained
The continuous innovation around contextual understanding of sentences has expanded significant bounds in NLP. The general idea of Transformer architecture is based on self-attention proposed in Attention is All You Need paper 2017.Self-attention is learning to weigh the relationship between each item/word to
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