In the evolving world of artificial intelligence, fine-tuning pre-trained models for specific tasks has become a crucial step in developing high-performance applications. Today, we will dive into how to fine-tune models using the CodeAlpaca-20K dataset along with the...
In the rapidly evolving landscape of artificial intelligence, OCR-free document understanding offers a promising alternative to traditional methods. Today, we're taking a deep dive into how to effectively utilize the PLUG-DocOwl model. This guide is user-friendly and...
In the realm of artificial intelligence, document understanding has gained immense traction, especially with the rise of OCR-free solutions. Today, we delve into how to effectively utilize the PLUG DocOwl model, a powerful tool designed for sophisticated document...
In the rapidly evolving landscape of Artificial Intelligence, understanding documents without relying on Optical Character Recognition (OCR) is an intriguing challenge. Today, we will explore how to utilize the PLUG-DocOwl model, a tool designed for OCR-free document...
The Gemma-2b-it-Toxic language model, developed by Google and MayStudios, offers intriguing insights into the effects of training AI on uncensored and toxic data. It's crucial for researchers and developers to approach this model with a clear understanding of its...
The Gemma-2B-IT model is a unique tool designed by Google that allows researchers to explore the effects of uncensored and toxic content in language models. In this article, we will walk you through how to get started with the model, explaining its purposes and...
Welcome to this guide on using PEFT (Parameter-Efficient Fine-Tuning) alongside Bitsandbytes for quantization during model training. With the rise of AI-driven applications, learning how to efficiently train models while managing resource usage is paramount....
Optimizing your model's training procedure is essential for achieving better performance while utilizing fewer resources. In this article, we will focus on how to use PEFT in conjunction with bitsandbytes configuration for efficient training. This user-friendly guide...
In the rapidly evolving field of medical technology, Named Entity Recognition (NER) is a crucial task. It helps identify valuable information from medical texts efficiently. The DeBERTa-MED-NER-2 model, a fine-tuned version of DeBERTa for medical applications, allows...
