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How to think about creating a dataset for LLM fine-tuning evaluation
I summarise the kinds of evaluations that are needed for a structured data generation task.
During the operation, a local national male failed to comply with repeated verbal warnings and displayed hostile intent toward the security force. (I released the dataset for this project publicly on the Hugging Face Hub and also was responsible for annotating every single item so I know the data intimately.) I learned a lot from Hamel Husain’s “Your AI Product Needs Evals” blogpost and if you’re interested in this I’d recommend reading it and then actually implementing his suggestions.
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