Manfrednotfunny

I would love to see any good research projects about it but i have the feeling that Frontier with MoE is making too fast of a progress so that a customized model would always be worse and that the MoE part is actually going somehow in this direction.

On the other hand, at the GTC was a talk about coding in different lanugage (like spanish) and explaining that the quality between spanish and english is relevant different.

But i have not found a good article about the impact of learning data with practical experiments or even if the order of the learning data matters.

At least I think i remember that Meta mentioned having better and less data can be better than more data with lower quality.

As long as these models can explain to you facts about any other topics, its still overfitted for the task though.

No he was not.

The fix was a few hours, the customer called him regularly. The CTO had no understanding that a basic SQL Insert shouldn't take a second.

This fix smoothed all response times on all queries and that customer never called aabout this issue again.

C* can mean anything.

The CTO of my last company thought that an API request under 1 second is okay as the customer at that endpoint wouldn't mind anything under 1 second.

I explained to him that under 1 second for this particular task is crazy high. He explained to me that it works fine as it is and its only one customer (the company customer) complaines to him about this issue every few month.

I fixed the SQL query, the problem was gone forever.

The same CTO got lulled into some weird talks with some AWS Account Manager for no reason. He told me what we should do and i explained to him how all of this (nicely of course) doesn't correlate to what we have, do and need.

I'm often enough surprised that our society runs.