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.
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.
In this blog, we discuss various types of learning paradigms present in NLP, notations often used in the prompt-based learning paradigm, demo applications of prompt-based learning, and discuss some design considerations to make while designing a prompting environment.
In this blog post, we learn how to build an unsupervised NLP pipeline for automatically extracting/generating glossaries and associated definitions from a given text document like a book/chapter/essay.
Follow this blog post to learn about several of the best metrics used for evaluating the quality of generated text, including: BLEU, ROUGE, BERTscore, METEOR, Self-BLEU, and Word Mover's Distance. We then show how to use them in a Gradient Notebook.
In this tutorial, we look at and implement the pipeline for running zero-shot text classification with Hugging Face on a Gradient Notebook.
Follow this tutorial to master angle-based outlier detection (ABOD), and learn how to better optimize your datasets for deep learning.
This article explores, suggests, and breaks down four popular techniques for augmenting data meant to be used with NLP.
