COLLAGE: A New Machine Learning Approach to Deal with Floating-Point Errors in Low-Precision to Make LLM Training Accurate and Efficient
Large language models (LLMs) have revolutionized natural language processing, enabling groundbreaking advancements in various applications such as machine translation, question-answering, and text generation. However, the training of these models poses significant challenges, including high resource […]