90% of AI projects fail - here are 3 ways to ensure yours doesn't
# self.quantization_config.is_quantization_compressed
。Snipaste - 截图 + 贴图对此有专业解读
(eat-kill-buffer-on-exit t)
Naive LLM judges are inconsistent. Run the same poem through twice and you get different scores (obviously, due to sampling). But lowering the temperature also doesn’t help much, as that’s only one of many technical issues. So, I developed a full scoring system, based on details on the logits outputs. It can get remarkably tricky. Think about a score from 1-10: