Generative AI LLM

Which of the following is a parameter-efficient fine-tuning approach that one can use to fine-tune LLMs in a memory efficient fashion?

Which library is used to accelerate data preparation operations on the GPU?

When fine-tuning an LLM for a specific application, why is it essential to perform exploratory data analysis (EDA) on the new training dataset?

Why might stemming or lemmatizing text be considered a beneficial preprocessing step in the context of computing TF-IDF vectors for a corpus?

You are using RAPIDS and Python for a data analysis project. Which pair of statements best explains how RAPIDS accelerates data science?