Natural Language Processing (NLP) is rapidly evolving, with small efficient language models gaining relevance. These models, ideal for efficient inference on consumer hardware and edge devices, allow for offline applications and have shown significant utility when fine-tuned for tasks like sequence classification or question answering. They can often outperform larger models in specialized areas.
One…
