nqnielsen

Now that was incredibly rad

From fabricated rehab locations to oversimplified medical jargon, here’s what happens when AI takes on the high stakes of clinical text generation.

Boosting LLM accuracy with 5% or more amidst label scarcity and budget constraints

And how to use LLM interpretability research for applied evaluation

And even if vendors does say they have it, or can get it, it ended up taking us 4-6 months before systems were online.

Wish we had known about this before building our product tour in intercom :) Will definitely try userflow for our next product!

Mesos itself is only considered as the kernel of a operating system for the datacenter (should also be the message of the article) - not the entirety of what _will_ be. It is Mesos in conjunction with distributed storage, app schedulers, interactive and batch systems for data processing that will make the OS. Just like Mac OS X isn't the Mach kernel alone, but a wide palette of applications that makes the entire OS experience.

So true; think about what multi-tasking and virtual memory have done for developer convenience _and_ system performance over the last decades. Bet we are going to see the same effects in this space too - there are so many interesting things to do in scheduling! Especially when you can distinguish between clever placement of long lived tasks vs fitting short-lived low-latency jobs.

On another note; next up: "data center_s_ need an operating system". Very interested to see the move towards multi DC/availability zones.

There is a bit more detail on examples and additional calls at https://github.com/mesosphere/mesos-cli