Abstract: The self-attention technique was first used to develop transformers for natural language processing. The groundbreaking work “Attention Is All You Need” (2017) for Natural Language ...

Learning Python is a smart move these days. It’s used everywhere, from making websites to crunching numbers. The good news? You don’t need to spend a fortune to get started. There are tons of great, ...

Python is one of the most popular programming languages in the world today, with millions of developers using it for web development, data science, machine learning, automation, and more. If you’ve ...

Add a description, image, and links to the nlp-transformer-lstm-pytorch-huggingface-jupyter topic page so that developers can more easily learn about it.

Running Python scripts is one of the most common tasks in automation. However, managing dependencies across different systems can be challenging. That’s where Docker comes in. Docker lets you package ...

Abstract: This research explores the development of a question generation model for Bangla text using the Bangla T5 base model, a transformer-based architecture tailored for the language. The study ...

Search engines have come a long way from relying on exact match keywords. Today, they try to understand the meaning behind content — what it says, how it says it, and whether it truly answers the ...

What if the tools you already use could do more than you ever imagined? Picture this: you’re working on a massive dataset in Excel, trying to make sense of endless rows and columns. It’s slow, ...

In this tutorial, we will learn how to build an interactive health data monitoring tool using Hugging Face’s transformer models, Google Colab, and ipywidgets. We walk you through setting up your Colab ...