As AI development continues to advance, the need for efficient model training and implementation grows ever more critical. Graphcore, with its powerful open-source library, presents a solution for developers seeking to optimize their AI models on IPUs (Intelligence...
In the vast realm of artificial intelligence, one fascinating task is transforming tabular data into comprehensible text. The ToTTo (Table-to-Text) dataset allows developers to work with structured tables to produce summaries in plain English. In this guide, we will...
If you're venturing into the world of deep head pose estimation, Hopenet is a robust tool that can significantly enhance your projects. This guide will walk you through how to set up and run Hopenet using Python. Prerequisites Python installed on your machine Torch...
Welcome to your go-to guide for leveraging the SnowieV3 Russian Pretrain, or РуПретрейн Снежок! Whether you're enhancing your English-speaking models to articulate in Russian or Japanese, this guide will help you navigate the process with ease. What is SnowieV3?...
In the ever-evolving landscape of artificial intelligence, maintaining the reproducibility of experiments is immensely important. This guide walks you through the process of installing NNCF (Neural Network Compression Framework) and applying it to create sparse neural...
Artificial Intelligence (AI) is a constantly evolving field that relies heavily on datasets to train models effectively. One such intriguing dataset is the QPDataset, associated with the MSCOCO. In this blog, we will explore the concept of text diversity metrics,...
In the rapidly evolving field of Natural Language Processing (NLP), TextAttack stands out as a robust framework for adversarial training of NLU models. In this guide, we will dive into how to train a TextAttack model using a classification task. We’ll touch upon the...
If you are looking to harness the capabilities of the GPT-Neo Small model fine-tuned for the Portuguese language, you've come to the right place. This guide will walk you through the step-by-step process of implementing this model in your Python environment. Model...
In the realm of natural language processing, training models to answer questions based on context is a challenging yet intriguing task. Today, we are going to explore how to train a Canine model using the SQuAD dataset using a Python script. Whether you are a beginner...
