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?
submitted by /u/radi-cho
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