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“Brandy, you're a fine tune, what a good Llama you would be, if I sort out how to feed your data!”

The devil is in the details - the key questions we want to cover on this podcast are

- how should the process of data selection and processing look like?

- which volume of data is needed and at which stages?

- how the entire process needs to be adjusted to output a model which will fit our fine-tuning tasks?

- why at all data world and fine-tuning world still stay siloed?

The podcast is hosted at MozillaAI stage by 

 - join our Discord to stay (fine-)tuned!:) 

Data pipelines for fine-tuning: questions I wish I asked before fine-tuning my last LLM