Screenshot of this question was making the rounds last week. But this article covers testing against all the well-known models out there.
Also includes outtakes on the ‘reasoning’ models.
Screenshot of this question was making the rounds last week. But this article covers testing against all the well-known models out there.
Also includes outtakes on the ‘reasoning’ models.
Well, they are language models after all. They have data on language, not real life. When you go beyond language as a training data, you can expect better results. In the meantime, these kinds of problems aren’t going anywhere.
Why act like this is an intractable problem? Several of the models succeeded 100% of the time. That is the problem “going somewhere.” There’s clearly a difference in the ability to handle these problems in a SOTA models compared to others.
Language model means you communictae through natural language I thought
Cool insight that is wrong in entirely unfortunate but I get it