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IMHO the `README.md` for instructlab itself does a terrible job of explaining the value of the software. I found the taxonomy `README.md` much more helpful: https://github.com/instructlab/taxonomy/blob/main/README.md

Hi Brian, thanks for that feedback; we are definitely going to improve our documentation and will take this into account. I hope you're able to test out InstructLab and let us know how it goes.

Here's a couple of explainers on LAB/InstructLab that may help https://research.ibm.com/blog/LLM-generated-data https://developers.redhat.com/articles/2024/05/07/instructla...

One of the authors here. This is the paper backing up the technology.

https://arxiv.org/abs/2403.01081

This seems like a really nice framework for feeding documentation into llms.

Would be curious to use same dataset without fine-tuned llm for RAG over same data.

Then one could immediately make use of building the dataset and then measure gains from training.

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