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Is there a way to do something like this but with fine tuning? For example, I want to train a Lora to become a email spam classifier. I have the training data f
by syntaxing 3y ago
Is there a way to do something like this but with fine tuning? For example, I want to train a Lora to become a email spam classifier. I have the training data for the prompt as the email and the response as {Boolean:True/False}?
- galleywest200 3y agoWhen I ask GPT-4 to give me a response in JSON format it just does it, so I assume that yes you can fine-tune an LLM to handle this.