> Additionally, while this wasn’t an issue for GPT, the Llama chat models would often output hundreds of miscellaneous tokens that were unnecessary for the task, further slowing down their inference time (e.g. “Sure! Happy to help…”).
That's the problem I've been facing with Llama 2 as well. It's almost impossible to have it just output the desired text. It will always add something before and after its response. Does anyone know if there's any prompt technique to fix this problem?
That's the problem I've been facing with Llama 2 as well. It's almost impossible to have it just output the desired text. It will always add something before and after its response. Does anyone know if there's any prompt technique to fix this problem?