arxiv preprint - Challenges and Applications of Large Language Models

In this episode we discuss Challenges and Applications of Large Language Models by Jean Kaddour, Joshua Harris, Maximilian Mozes, Herbie Bradley, Roberta Raileanu, Robert McHardy. The paper provides a systematic analysis of the challenges and applications of Large Language Models (LLMs). In the Challenges section, it discusses obstacles such as dataset complexity, high training costs, and limited context length. The Applications section explores the use of LLMs in various domains, including chatbots, computational biology, and social sciences. The paper concludes by stressing the importance of understanding these challenges and applications to advance the field effectively.