Part 5/11:
Knowledge Recall: It recalls exact information—not just patterns—making it superior for fine-grained fact retrieval and question answering.
Use Case Focus: Semantic search excels in retrieving relevant documents from large corpora, which can then be summarized or processed by language models.
Why the Misconception? How Do People Think Fine-Tuning Works?
Many believe that because GPT-3 was trained on Wikipedia, a little additional fine-tuning makes it "know" any new data—like recent legislation or new research. This stems from transfer learning's core idea but ignores its limitations.