Tag: NLP

POS (Part-of-Speech) tagging with Hidden Markov Model

POS (Part-of-Speech) tagging with Hidden Markov Model

POS (Part-of-Speech) tagging with Hidden Markov Model POS (Part-of-Speech) tagging with Hidden Markov Model POS or Part of Speech tagging is a task of labeling each word in a sentence with an appropriate part of speech within a context. Source …

QData/TextAttack

QData/TextAttack

QData/TextAttack QData/TextAttack TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP. Source: github.com/QData/TextAttack …

The Annotated GPT-2

The Annotated GPT-2

The Annotated GPT-2 The Annotated GPT-2 The GPT-2 might seem like magic at first with all it’s glitter and beauty too, but hopefully I would have uncovered that magic for you and revealed all the tricks by the time you finish reading this post. …

PyTorch LSTM: Text Generation Tutorial

PyTorch LSTM: Text Generation Tutorial

PyTorch LSTM: Text Generation Tutorial PyTorch LSTM: Text Generation Tutorial Key element of LSTM is the ability to work with sequences and its gating mechanism. Source: closeheat.com/blog/pytorch-lstm-text-generation-tutorial …

GPT-3, a Giant Step for Deep Learning and NLP

GPT-3, a Giant Step for Deep Learning and NLP

GPT-3, a Giant Step for Deep Learning and NLP GPT-3, a Giant Step for Deep Learning and NLP Can intelligence emerge simply by training a big enough language model using lots of data? OpenAI tries to do so, using 175 billion parameters. Source: …

Simple chatbot implementation with PyTorch

Simple chatbot implementation with PyTorch

Simple chatbot implementation with PyTorch python-engineer/pytorch-chatbot Simple chatbot implementation with PyTorch. The implementation should be easy to follow for beginners and provide a basic understanding of chatbots. The implemen …

How to train a new language model from scratch using Transformers and Tokenizers

How to train a new language model from scratch using Transformers and Tokenizers

How to train a new language model from scratch using Transformers and Tokenizers How to train a new language model from scratch using Transformers and Tokenizers We’re on a journey to solve and democratize artificial intelligence through natura …

A list of NLP tutorials

A list of NLP tutorials

A list of NLP tutorials lyeoni/nlp-tutorial A step-by-step tutorial on how to implement and adapt to the simple real-word NLP task Source: github.com/lyeoni/nlp-tutorial …

CCMatrix: A billion-scale bitext data set for training translation models

CCMatrix: A billion-scale bitext data set for training translation models

CCMatrix: A billion-scale bitext data set for training translation models CCMatrix is the largest data set of high-quality, web-based bitexts for training translation models. With more than 4.5 billion parallel sentences in 576 language pairs pu …

OpenAI debuts gigantic GPT-3 language model with 175 billion parameters

OpenAI debuts gigantic GPT-3 language model with 175 billion parameters

OpenAI debuts gigantic GPT-3 language model with 175 billion parameters OpenAI debuts gigantic GPT-3 language model with 175 billion parameters OpenAI's GPT-3 language model can generate convincing news articles and achieve state-of-the-art res …

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