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1.目前KAG拆解子问题,是通过logic_form_plan.py来进行,使之转为函数执行;这里有没有办法不使用通用大模型甚至不使用大模型,因为这边通用大模型会有幻觉等通用弊端,在未来KAG版本是否有其它思路实现。
a.不使用大模型,使用传统NLP,类似LazyGraphRag; b.训练一个SequenceToSql模型,但是训练样本如何整理? 还是有其它方案?
在KAG分享会上,田常大佬说后续说会有新的思路,具体是什么呢?
2.拆解成子问题的函数,后续是否考虑支持udf,比如spg一些函数或自定义函数等等
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1.目前KAG拆解子问题,是通过logic_form_plan.py来进行,使之转为函数执行;这里有没有办法不使用通用大模型甚至不使用大模型,因为这边通用大模型会有幻觉等通用弊端,在未来KAG版本是否有其它思路实现。
a.不使用大模型,使用传统NLP,类似LazyGraphRag;
b.训练一个SequenceToSql模型,但是训练样本如何整理?
还是有其它方案?
2.拆解成子问题的函数,后续是否考虑支持udf,比如spg一些函数或自定义函数等等
Are you willing to submit PR?
The text was updated successfully, but these errors were encountered: