For what LangChain does, most of the time I see no need for any framework. I would rather directly work with a vendor's official package. LangGraph is different. It is a legitimate piece of workflow software and not a wrapper framework. Now, when it comes to workflow there are many other well established engines out there that I will consider first.
I used to read about cyc here https://www.cyc.com/cycl-translations. But it says now "coming soon". Since we have folks from Cyc here, any ideas how soon?
Ok, I read the article. I guess this is more educational exploration rather than practical advice. So conclusion is that deterministic grid or adaptive deterministic grid (not directly discussed) beats random sampling.
it's conventional to leave these out to preserve anonymity during the peer review process; if one is available, it will be added in the final published version if it's accepted.
this article is still unpublished and was only submitted for peer review yesterday!
In this case the review is, mostly (chances are the area chair knows who is who), double blind meaning: the reviewers don't know who the paper is written by _and_ the authors of the paper don't know the identity of the reviewers.
equation 1 (in formal definition). the basis is e^(-st). if you don't know how that's a basis you need to read a little bit about functional analysis but just look at the integral as a continuous sum and f(t) as the basis coefficients and e^(-st) starts to look like a vector space basis (hilbert space) basis.
I think you maybe need to know quite a lot about both in order to have a good answer. If you want to learn a bit, the reasoned schemer is the best jumping off point imo.
This is maybe the best internet answer, by the author:
