Is there a reason for the downvotes here? We can see that having the answer in the training data doesn't help. If it's in there, what's that supposed to show?
It's entirely unclear what are you trying to get across, at least to me.
Generally speaking, posting output from a LLM, without explaining exactly what do you think it illustrates and why is frowned upon here. I don't think your comment does a great job of the latter.
>> So it’s likely that it’s part of the training data by now.
> I don't think this means what you think it means.
> I did some interacting with the Tencent model that showed up here a couple days ago [...]
> This is a question that obviously was in the training data. How do you get the answer back out of the training data?
What do I think the conversation illustrates? Probably that having the answer in the training data doesn't get it into the output.
How does the conversation illustrate that? It isn't subtle. You can see it without reading any of the Chinese. If you want to read the Chinese, Google Translate is more than good enough for this purpose; that's what I used.
Your intentions are good, but your execution is poor.
I cannot figure out what the comment is trying to get across either. It's easy for you because you already know what you are trying to say. You know what the pasted output shows. The poor execution is in not spending enough time thinking about how someone coming in totally blind would interpret the comment.
I have translated the Chinese. I still have no idea what point you're trying to make. You ask it questions about some kind of band, and it answers. Are you saying the answers are wrong?
I didn't downvote you, but like (probably) most people here, I can't read Chinese; I can't derive whatever point you're trying to make just from with text you provided.
