What is the impact of increasing shot count from one to five on the edit distance scores of Code Llama Python

Abstract

Abstract: Instruction tuning large language models (LLMs) using machine-generated instruction-following data has improved zero-shot capabilities on new tasks, but the idea is less explored in the multimodal field. In this paper, we present the first attempt to use language-only GPT-4 to generate multimodal language-image instruction-following data. By instruction tuning on such generated data, we introduce LLaVA: Large Language and Vision Assistant, an end-to-end trained large multimodal model that connects a vision encoder and LLM for general-purpose visual and language understanding.Our early experime

Research Question

What is the impact of increasing shot count from one to five on the edit distance scores of Code Llama Python versus the general Code Llama 7B model on data science tasks?

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