How are documents usually evaluated in the simplest form of keyword-based search? According to the length of the documents Based on the number of images and videos contained in the documents By the complexity of language used in the documents ** 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)? When you want to optimize the model without any instructions When the LLM requires access to the latest data for generating outputs ** When the LLM does not perform well on a task and the data for prompt engineering is too large