This talk examines the potential of large language models to understand language by analyzing their performance on tasks such as natural language processing, question answering, and machine translation. The talk will analyze existing research which has been conducted in the field, including recent breakthroughs such as GPT-3. It will also discuss the implications of these models for the future of language understanding, as well as the ethical considerations that come with the use of large language models. Finally, the talk will explore potential applications of large language models and the potential for further research. Ultimately, the talk will explore the potential of large language models to understand language, and will discuss the implications for future research.
