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  how Llama and OpenAI could be cleaning and structuring their training data
If you're interested in this, there are several sections in the Llama paper you will likely enjoy:

https://ai.meta.com/research/publications/the-llama-3-herd-o...



But isn't it the beauty of llm's that they need comparably little preparation (unstructured text as input) and pick the features on their own so to say?

edit: grammar


Yes, if you want an LLM that doesn't listen to instructions and just endlessly babbles about anything and everything.

What turned GPT into chatGPT was a lot of structured training with human feedback.


Exactly. Section 4.3.7 briefly explains how they trained the model to better follow instructions ('steerability').




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