Large Language Models (LLMs) have become the backbone of modern Natural Language Processing (NLP), pushing the boundaries of tasks like text generation, summarization, machine translation, and question-answering. These models are designed to process vast amounts of textual data, enabling them to generate human-like responses. The core strength of LLMs lies Continue Reading
transformer
A Brief History of Large Large Language Models (LLMs)
Artificial intelligence (AI) has made remarkable progress in recent years, particularly in natural language processing (NLP). One of the most significant developments has been the rise of large language models (LLMs)—powerful models that can easily understand and generate human language. These models have revolutionized various industries, enabling everything from automatic Continue Reading
[Paper Summary] Class-Aware Adversarial Transformers for Medical Image Segmentation
![[Paper Summary] Class-Aware Adversarial Transformers for Medical Image Segmentation](https://idiotdeveloper.com/wp-content/uploads/2023/02/castformer-architecture.webp)
Transformer-based models have shown remarkable progress in the field of medical image segmentation. However, the existing methods still suffer from limitations such as loss of information and inaccurate segmentation label maps. In this article, we will discuss a new type of adversarial transformer, the Class-Aware Adversarial Transformer (CASTformer), which overcomes Continue Reading