Few-shot training LLMs for project-specific code-summarization. (arXiv:2207.04237v2 [cs.SE] UPDATED)

Very large language models (LLMs), such as GPT-3 and Codex have achieved
state-of-the-art performance on several natural-language tasks, and show great
promise also for code. A particularly exciting aspect of LLMs is their knack
for few-shot and zero-shot learning: they can learn to perform a task with very
few examples. Few-shotting has particular synergies in software engineering,
where there are a lot of phenomena (identifier names, APIs, terminology, coding
patterns) that are known to be highly project-specific. However,
project-specific data …

arxiv code llms project summarization training