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Daddy Makers
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<p><span>SW, HW, CG, ART, 건설, 건축 메이크 과정을 정리, 공유하는 블로그입니다 - 대디 메이커</span></p>
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Daddy Makers

이 글은 LLM 학습 데이터 작성 방법을 간략히 정리한다.
레퍼런스
lamini-ai/docs-to-qa
microsoft/llm-data-creation: Model, Code & Data for the EMNLP'23 paper "Making Large Language Models Better Data Creators"
facebookresearch/QA-Overlap: Code to support the paper "Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets"
nalinrajendran/synthetic-LLM-QA-dataset-generator: Create synthetic datasets for training and testing Language Learning Models (LLMs) in a Question-Answering (QA) context
night-chen/ToolQA: ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels (easy/hard) across eight real-life scenarios
longluu/Medical-QA-LLM: Train LLMs on extractive Question-Answering in biomedical domain
brmson/dataset-factoid-webquestions: WebQuestions QA Benchmarking Dataset
ad-freiburg/large-qa-datasets: A collection of large question answering datasets

LLM 학습 데이터 작성 방법

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