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Navigating Challenges with Large Language Models
The chapter delves into the pitfalls of anthropomorphizing software and the risks of misinformation in large language models. It explores strategies like fine-tuning and retrieval augmented generation to enhance accuracy in responses. The conversation also highlights the importance of effective prompting and the limitations of relying solely on Large Language Models for information retrieval.