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If you want to learn how to use LLMs for classification in depth (including fine-tuning), I wrote a comprehensive guide covering the theory and practical implementation a while back. This includes explaining the gotchas for using decoders as classifiers. LLMs as classifiers are pretty popular these days in kaggle competitions and I've used them successfully at work, so hope you get something out of it! Link 👇
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