We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
在generate模式下,代码中的实现是基于explicit symptoms预测出在词表上的分布next_token_logtis之后,就开始遍历这个next_token_logits,生成的词用generated变量存储。我的理解是应该取next_token_logtis中概率最大的词,加入input_ids,之后继续输入模型获得下一个next_token_logtis,这样才能考虑implicit symptoms,但是代码中并不是这样实现的,能解答一下吗?
The text was updated successfully, but these errors were encountered:
因为诊断是交互的,取next_token_logtis中概率最大的症状作为要询问的症状,这里就是一次询问操作,需要确认implicit symptoms中(即给出肯定的ture或false的答复),才会加入input_ids中继续询问。
Sorry, something went wrong.
No branches or pull requests
在generate模式下,代码中的实现是基于explicit symptoms预测出在词表上的分布next_token_logtis之后,就开始遍历这个next_token_logits,生成的词用generated变量存储。我的理解是应该取next_token_logtis中概率最大的词,加入input_ids,之后继续输入模型获得下一个next_token_logtis,这样才能考虑implicit symptoms,但是代码中并不是这样实现的,能解答一下吗?
The text was updated successfully, but these errors were encountered: