用大模型自动生成问答数据并训练适配特定领域的模型。
QGen Studio: An Adaptive Question-Answer Generation, Training and Evaluation Platform
- 基于大模型生成定制化问答数据，支持领域适配。
- 内置数据可视化与模型对比功能，提升训练效率。
- 适合需要构建专用问答系统的开发者与研究者。
我们提出QGen Studio：一个自适应的问答生成、训练与评估平台。该平台使用户能够利用大语言模型（LLMs）创建自定义的问答数据集，并在合成数据上微调模型。其数据集查看器提供关键指标并可视化生成问答对的上下文，帮助评估数据质量；模型探索器支持模型对比，可将训练后的LLM性能与其他模型进行基准测试与优化。QGen Studio提供了交互式端到端解决方案，用于生成问答数据并训练可扩展、领域适配的模型。该平台即将开源，支持本地部署。
原文摘要 · Abstract (English)
We present QGen Studio: an adaptive question-answer generation, training, and evaluation platform. QGen Studio enables users to leverage large language models (LLMs) to create custom question-answer datasets and fine-tune models on this synthetic data. It features a dataset viewer and model explorer to streamline this process. The dataset viewer provides key metrics and visualizes the context from which the QA pairs are generated, offering insights into data quality. The model explorer supports model comparison, allowing users to contrast the performance of their trained LLMs against other models, supporting performance benchmarking and refinement. QGen Studio delivers an interactive, end-to-end solution for generating QA datasets and training scalable, domain-adaptable models. The studio will be open-sourced soon, allowing users to deploy it locally.
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