Massive prompts can outperform fine-tuning for LLMs, researchers find

Researchers have found that giving large language models (LLMs) many examples directly in the prompt can be more effective than time-consuming fine-tuning, according to a study from Carnegie Mellon and Tel Aviv University.

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