iot_devs
Joined 9 years ago
Joined 9 years ago
I operated services at similar scale, and generally we use to put a bit of slack so that you would get an alarm when capacity goes up to 80%+ (or whatever number makes sense)
This allows to check, in the morning, after coffee, why the load balancer fleet didn't scale up automatically.
I am sure there is a good answer to why this is impractical, but it would be nice to know
The overall idea is to work/write at an higher level of abstraction where you work with "ideas" (just small paragraphs).
You can move them around and basically restructure many/whole paragraphs by simply changing few words.
The final text is generated by an LLM.
LLM that has the whole context so you can ask it questions, but more importantly it can provide you feedback
Also if this scale anywhere close to LLMs in 2 years they will fold at super human speed and much better than me.
Is that a typo or some quirk of radio amateur?
Given a prompt (or task) how do I evaluate if it is a "simple" task that should be executed by a small model or if it is a complex one that may need a SOTA model?
Are you guys using heuristics? Which one?
We will see!
I am interested in a similar tool and it would be nice to skip some of the learning
Yet! It is the next frontier and we will need it for having agent as described in the post to really work
So you include colour, shapes, etc?