Welcome to a journey through the world of language representation learning! In this article, we'll explore **ELECTRA**, a cutting-edge method for training transformer networks using minimal computational resources while achieving impressive results. Ready to dive in?...
DPRQuestionEncoder for TriviaQA: How to Make the Most of It
In the world of Open-Domain Question Answering, the Dense Passage Retrieval (DPR) model stands out as a powerful tool. Specifically, the DPRQuestionEncoder trained on TriviaQA opens up new avenues for effectively processing questions. Whether you're a beginner or...
How to Implement the MT5-Based Question Answering Model for the Sinhalese Language
If you are looking to work with the Sinhalese language in natural language processing, the MT5-based Question Answering model provides a robust solution. This blog post will guide you through the steps of implementing this model, right from setup to evaluation....
How to Use ByT5 Small for Portuguese Product Reviews
In this article, we will delve into how to utilize the ByT5 Small model specifically finetuned for sentiment analysis on product reviews in Portuguese. With clear, step-by-step instructions, you'll be able to set this model up and start analyzing reviews in no time!...
Building Large Biomedical Language Models with BioM-Transformers
In the rapidly evolving field of natural language processing (NLP), biomedical language models are gaining significant attention. At the forefront of this development is a pioneering study on BioM-Transformers, which delves into how design choices influence the...
How to Fine-Tune Transformer Models for Detecting Trolling, Aggression, and Cyberbullying
In this blog, we'll explore the journey of fine-tuning transformer models to identify negative online behaviors such as trolling, aggression, and cyberbullying. This guide is structured to be user-friendly, ensuring that both newcomers and experienced developers can...
How to Use the Pretrained and Finetuned Wav2Vec2.0 Base Model on Flemish Data
In the rapidly evolving landscape of artificial intelligence, speech recognition remains an exciting and challenging domain. With the introduction of the pretrained and finetuned Wav2Vec2.0 model tailored specifically for Flemish data, developers can unleash the power...
How to Fine-tune IndicBERT for Few-Shot Transfer Learning
Welcome to our blog! Today, we will delve into the intricacies of fine-tuning IndicBERT for few-shot transfer learning. We'll focus on how to adapt IndicBERT specifically for Hindi training data while utilizing Urdu validation and test sets. Although low accuracy is...
How to Evaluate a Pruned BERT Model for SQuAD v1.1
In the fast-paced world of artificial intelligence and natural language processing, optimizing models for efficiency without sacrificing performance is crucial. This guide will walk you through the steps to evaluate the BERT model specifically tuned for SQuAD v1.1,...









