Revolutionize LLMs with Long RoPE for Superior Outcomes
Large Language Models (LLMs) have revolutionized the natural language processing (NLP) field, enabling advancements in tasks ranging from text generation and translation to sentiment analysis and summarization. Among the various techniques and innovations in LLMs, Rotary Positional Embeddings (RoPE) have… Read More »Revolutionize LLMs with Long RoPE for Superior Outcomes