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The Challenges of Fine-Tuning vs. Advantages of Semantic Search
This chapter examines the challenges and limitations of fine-tuning large language models, contrasting it with the efficacy of semantic search. It emphasizes the reliability and efficiency of semantic search for information retrieval, using a library analogy to illustrate human QA processes.