Welcome to an exciting journey where we transform everyday phrases into the grandeur of Abraham Lincoln’s style! By harnessing the power of the transformers library, we can convert modern informal language into elite oratory. This blog will guide you through the...
Educational
The MSRoBERTa Fine-Tuned Model: A Guide to Microsoft Sentence Completion Challenge
Welcome to the world of natural language processing! In this blog, we will explore the MSRoBERTa model, a fine-tuned version of the RoBERTa model specifically designed for the Microsoft Sentence Completion Challenge. With a focus on how to implement this model, as...
How to Create an Upside Down Classifier Using CIFAR-100
Welcome to this guide where we will walk you through the process of creating an "Upside Down Classifier." This model excels at orientation classification, particularly trained using the CIFAR-100 dataset. Let's dive into the aspects of this fascinating...
Transforming Informal Language into Formal Phrasing
In the world of communication, the ability to adapt one's vocabulary and sentence structure enables us to convey information appropriately depending on the context. Whether you are drafting a formal document or engaging in casual conversation, knowing how to shift...
How to Utilize the Data-to-Text Generation Model with Variational Sequential Planning
This article aims to guide you through the process of leveraging the Data-to-text Generation model crafted by Ratish Puduppully, Yao Fu, and Mirella Lapata, as showcased in their paper published in the Transactions of the Association for Computational Linguistics...
A Step-by-Step Guide to Fine-tuning the Kykimbert-Kor-Base Model for Dense Passage Retrieval
In this article, we will explore how to effectively fine-tune the Kykimbert-Kor-Base model, transforming it into an efficient dense passage retrieval context encoder using the KLUE dataset. Let’s get started! What You Will Need Python 3.6 or later Transformers library...
How to Use the T5 Model for Text-to-Text Transformations
If you're venturing into the realm of Natural Language Processing (NLP), you've likely heard about the impressive T5 model. Developed as a unified framework that processes all text-based language tasks as a text-to-text format, T5 leverages transfer learning for...
How to Use the Bert-Base-German-Cased Model for Behaviour Change Analysis
In the realm of natural language processing, understanding human emotions and motivations can be a game-changer, especially when applied to weight loss and behaviour change. Today, we’ll explore the Bert-base-german-cased model that has been finetuned on the Valence...
How to Fine-tune a Chatbot Using the Greek Persona-Chat Dataset
In the ever-evolving world of artificial intelligence, fine-tuning chatbot models can significantly enhance user interaction. This guide will walk you through the process of using the Greek version of the Persona-Chat dataset to train a GPT-2 based model, specifically...
