This chapter discusses the performance of GPT-4 in addressing the problem of knowledge cutoff in language models. It compares GPT-4 with other models and highlights its ability to keep up with current knowledge and identify false premises in questions. The chapter also cautions against overhyping the results and emphasizes the importance of considering latency concerns and using multiple benchmarks.

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