In collaborative projects, ensuring that all members contribute effectively is vital for achieving optimal outcomes. This article delves into a breakdown of "Prompts Per Member," particularly focusing on the allocation among four members: Jennie, Jisoo, Lisa, and...
In this blog post, we will walk through how to utilize the T5 (Text-to-Text Transfer Transformer) architecture for generating text based on structured input data. This guide is especially useful for developers and data scientists looking to implement AI-driven...
In this guide, we will explore the process of fine-tuning the bert-base-uncased model for sequence classification using the TextAttack framework and the Rotten Tomatoes dataset. This tutorial will help you understand the methodology and provide you with a...
In the ever-evolving landscape of Natural Language Processing (NLP), RoBERTa has emerged as a powerful contender, particularly when it comes to understanding the nuances of language in various social media contexts. In this article, we will guide you through using the...
Natural Language Processing (NLP) serves as the backbone of many sophisticated AI applications today, and understanding its nuances can be pivotal for the legal domain. One such innovation is the MultiLegalSBD (Sentence Boundary Detection) dataset. In this article,...
In the world of artificial intelligence, fine-tuning models can unlock a treasure trove of capabilities, especially when it comes to generating human-like text. In this blog post, we’ll delve into how to fine-tune the DistilGPT-2 model on a dataset of inspirational...
The Spider model is an unsupervised pretrained model that provides an efficient way to retrieve passages as discussed in our paper Learning to Retrieve Passages without Supervision. In this article, we will guide you through the process of using the Spider model,...
Are you ready to elevate your machine learning model by optimizing it using OpenVINO and the Neural Network Compression Framework (NNCF)? In this user-friendly guide, we will walk you through the necessary steps to clone and set up a downstream optimized model...
In the world of Natural Language Processing (NLP), Sentence Boundary Detection (SBD) plays a pivotal role, especially in the legal domain where sentence structures can be notoriously complex. If you are venturing into this area or aiming to refine your models, this...
