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Limitations and Challenges of Large Language Models (LLMs)
This chapter explores the limitations and challenges faced by Large Language Models (LLMs) in understanding queries, their struggle with unfamiliar inputs, and the concept of prompt engineering to elicit correct responses. It also delves into the capabilities of deep learning models in interpolating between different styles or topics and discusses the difference between memorization and true understanding in the context of intelligence, emphasizing the importance of testing understanding through novel problems.