Long-Context Large Language Models

Navigating the Challenges of Long-Context Language Modeling with Transformers. Image source [3]

Language modeling has captured the attention of researchers over the years, leading to numerous iterations and modifications of proposed architectures to address tasks in areas like machine translation, summarization, natural language understanding, sentiment analysis, and text labeling. Architectures have evolved from simple statistical models to recurrent networks and, more recently, transformers.