[Synthetic] DatasetGPT – A Command-line Tool To Generate Datasets By Inferencing LLMs At Scale. It Can Even Make Two ChatGPT Agents Talk With One Another.

GitHub: https://github.com/radi-cho/datasetGPT

It can generate texts by varying input parameters and using multiple backends. But, personally, the conversations dataset generation is my favorite: It can produce dialogues between two ChatGPT agents.

Possible use cases may include:

Constructing textual corpora to train/fine-tune detectors for content written by AI. Collecting datasets of LLM-produced conversations for research purposes, analysis of AI performance/impact/ethics, etc. Automating a task that a LLM can handle over big amounts of input texts. For example, using GPT-3 to summarize 1000 paragraphs with a single CLI command. Leveraging APIs of especially big LLMs to produce diverse texts for a specific task and then fine-tune a smaller model with them.

What would you use it for?