Educational
Unlocking Financial Insights with FinBERT

Unlocking Financial Insights with FinBERT

In the world of finance, understanding the nuances of communication can be as valuable as predicting stock market trends. Enter FinBERT, a powerful BERT model designed specifically for financial communication text. With an impressive training on 4.9 billion tokens...

How to Use the VLP Dataset for Optical Camera Communications

How to Use the VLP Dataset for Optical Camera Communications

Welcome to a user-friendly guide on utilizing the VLP (Visible Light Positioning) dataset, an invaluable resource for research in optical camera communications and machine learning! Understanding the Dataset The VLP dataset, part of research conducted at the Instituto...

How to Get Started with the Model

How to Get Started with the Model

Embarking on your adventure with AI models can be both exhilarating and daunting. Whether you're a seasoned developer or just starting your journey, this guide will help you navigate the interesting world of model interaction. Below, you'll find a step-by-step...

Accessing the Project AINAFLOR-6.3B Model: A Guide

Accessing the Project AINAFLOR-6.3B Model: A Guide

Are you eager to dive into the world of AI and explore what the Project AINAFLOR-6.3B model has to offer? If you found yourself restricted from accessing this cutting-edge model, don’t worry! This guide will help you understand the steps you need to take to request...

Generating Questions Using Sequence-to-Sequence Models

Generating Questions Using Sequence-to-Sequence Models

Welcome to this guide on using a state-of-the-art sequence-to-sequence model that generates questions based on a given answer and context. This model uses the pre-trained mt5-base model from Google and has been fine-tuned on the XQuAD dataset. With this guide, you'll...

How to Use the Contriever Model for Sentence Embeddings

How to Use the Contriever Model for Sentence Embeddings

Welcome to our step-by-step guide on how to utilize the Contriever model for retrieving dense information without supervision. Inspired by innovative methods delineated in the research paper "Towards Unsupervised Dense Information Retrieval with Contrastive Learning",...