State of the Art LLM
State-of-the-art Large Language Models (LLMs) are rapidly evolving, focusing on improving performance across diverse tasks and domains, including finance, healthcare, and process engineering. Research emphasizes enhancing reasoning capabilities, particularly for multi-step problems, through techniques like incorporating external symbolic working memory and modular architectures with specialized expert models (e.g., Mixture of Experts). These advancements are significant because they enable more reliable and efficient LLM applications, ranging from automating complex processes to providing personalized user experiences and improving access to information in various fields.
Papers
January 15, 2024
January 13, 2024
January 11, 2024
November 2, 2023
October 24, 2023
October 10, 2023
May 16, 2023