Artificial Intelligence is evolving rapidly, with new models popping up to tackle various challenges and augment our capabilities. One such model is KAKAO Brain's KoGPT. However, gaining access to this powerful tool can be a bit tricky. In this article, we will guide...
Educational
How to Train Your Own Stay-At-Home AI Model with Stanford Alpaca
Are you ready to dive into the world of AI and machine learning? If you've ever dreamed of creating your own language model, you're in for a treat! This blog post will guide you through the process of training a replica of the Stanford Alpaca model, adapting an...
How to Implement Face Detection Using DEtection TRansformers (DETR) from Facebook AI
Face detection technology has vastly improved over the years, and one of the most innovative approaches is using DEtection TRansformers (DETR) developed by Facebook AI. This guide will walk you through the steps of implementing DETR for face detection, ensuring a...
How to Utilize a Pretrained Model on 10 Million SMILES from PubChem
Understanding molecular structures is crucial for various fields, including medicinal chemistry and materials science. In an exciting breakthrough, researchers have developed a pretrained model based on 10 million SMILES (Simplified Molecular Input Line Entry System)...
How to Utilize Suicidal-BERT for Text Classification
In an ever-evolving digital landscape, addressing critical mental health concerns is paramount. The Suicidal-BERT model offers a robust solution for identifying suicidal phrases within text, whether from social media, support forums, or other platforms. This article...
Enhancing Informal English to Formal Prose with Transformers
Have you ever found yourself struggling to convert informal language into a more formal tone, perhaps in your writing, presentations, or speeches? Fear not! Today, we will explore a remarkable tool using Python's Hugging Face Transformers library that can gracefully...
How to Train Llama 3.1: Mastering the Art of AI Instructions
In the rapidly evolving world of artificial intelligence, training models effectively is crucial for achieving optimized performance. In this post, we’ll delve into the training process of Llama 3.1, focusing on its unique characteristics and methodologies that make...
Fine-Tuning Sparse BERT Models for SQuADv1: A Step-by-Step Guide
Unstructured sparse models can be significant assets when fine-tuning BERT for question-answering tasks. In this article, we will explore the process of fine-tuning bert-base-uncased models specifically for the SQuADv1 dataset. We'll delve into the creation of...
How to Fine-Tune the Albert-Base-V2 Model for Sequence Classification with TextAttack
In the world of natural language processing (NLP), fine-tuning pre-trained models can significantly boost performance for specific tasks, such as sequence classification. One remarkable model you can utilize is the albert-base-v2, and in this article, I’ll guide you...
