Educational

How to Use the ESG-BERT Model for Analyzing Reddit Posts

Welcome to the fascinating world of Natural Language Processing! Today, we are diving into the details of the ESG-BERT model, which incorporates advanced techniques for analyzing Environmental, Social, and Governance (ESG) sentiments in Reddit posts. What is ESG-BERT?...

How to Fine-Tune a TextAttack Model Using the GLUE Dataset

Fine-tuning a TextAttack model on classification tasks can significantly enhance the performance of natural language processing applications. In this article, we will walk you through the steps involved in fine-tuning a TextAttack model with the GLUE dataset using the...

Unleashing the Power of PsychBERT: A Step-by-Step Guide

PsychBERT is a domain-adapted language model designed specifically for the fields of psychology, psychiatry, and mental health. By pretraining on a rich dataset of over 40,000 PubMed papers and 200,000 social media conversations on mental health, it equips researchers...

How to Utilize bart-small for Your AI Projects

In the evolving landscape of artificial intelligence, efficiency is just as important as effectiveness. One fantastic model making waves is bart-small. This lighter version of the popular BART model, bart-small, has fewer attention heads, a smaller FFT, and a reduced...

How to Use the Quantized Version of Vikhr-7B with Llama.cpp

If you're keen on leveraging cutting-edge AI capabilities, then the quantized version of the Vikhr-7B instruct model is a great choice. This guide will walk you through implementing this model effectively while addressing potential issues you might encounter along the...