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How are documents usually evaluated in the simplest form of keyword-based search?
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• Based on the presence and frequency of the user-provided keywords
When is fine-tuning an appropriate method for customizing a Large Language Model (LLM)?
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• When the LLM does not perform well on a task and the data for prompt engineering is too large
In which scenario is soft prompting appropriate compared to other training styles?
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• When there is a need to add learnable parameters to a Large Language Model (LLM) without task-specific training
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