Introduction to Extractive and Abstractive Summarization Techniques
In this theory we cover the background theory behind a variety of methodologies for abstractive text summarization
20 days ago
NLP
Intuitive Introduction to Neural Machine Translation with Bahdanau and Luong Attention
In this article, we go over Neural Machine Translation with Bahdanau and Luong Attention, and demonstrate the value of the innovative model architecture.
a month ago
Data2Vec: Self-supervised general framework for vision, speech, and text
In this tutorial, we understand Data2Vec model from Meta AI and show how to train your own model with a ready-to-use codebase on the Gradient Notebook.
2 months ago
Featured
public
Tutorial
Get LLaMA Running with Gradient
In this tutorial, we look at the LLaMA model from Meta AI, and show how to implement it in a Gradient Notebook with lightning fast access to the models using the Public Dataset.
3 months ago
Dense Passage Retrieval in Open-Domain Question Answering
In this article, we talk about what Dense Passage Retrieval is, how it works, and its uses. We also show how to implement it using the Simple Transformers python library in a Gradient Notebook.
5 months ago
Introduction to Natural Language Processing using NLTK
In this article, we'll go over how to set up NLTK in a paperspace gradient and utilize it to carry out a variety of NLP operations during the text processing stage. Then, we will create a Keras model with the help of some NLTK tools for sentiment analysis text classification.
6 months ago
Generating automatic video subtitles from any language with Whisper AutoCaption
In this tutorial, we show how Whisper can be used with MoviePy to automatically generate and overlay translated subtitles from any video sample. We then walked through setting up this process to run both within a Notebook context and from an application served with Gradient Deployments.
8 months ago
Text2Emoji Predictor with Stacked Embeddings using Flair framework
In this blog, we show how to build an emoji suggestion system for short sentences rather than just a single word, and integrate it with a Flask interface.
8 months ago
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
In this deep dive of BERT, we explore the powerful NLP model's history, break down the approach and architecture behind the model, and take a look at some relevant experiments. We then close with a code demo showing how to use BERT, DistilBERT, RoBERTa, and ALBERT in a Gradient Notebook.
9 months ago
