Co-founder and CEO of @MaqsamHQ. I tweet about #Startups, #ComputerScience, and #Tech.
Previously a Google software engineer, and first engineer at @Jawaker.
I tried to elaborate that they're not purely random (and we can probably predict a patient's visit time based on history and description of the case), and we can already do some optimizations based on average visit times.
Unfortunately his opinion didn't change.
I always spend at least an hour waiting for my appointment at the doctor in Jordan.
Today after a 2-hour wait, I offered the doctor to optimize waiting times without any loss of business, for free.
I think with time it's less meaningful to look for Arabic LLMs; SOTA LLMs are now doing great in Arabic.
Maybe the only reasons would be if you want to deploy something isolated (e.g. on premise for a bank, or you want to control some answers).
Our evaluation at @MaqsamHQ is that Open Source LLMs are far behind SOTA closed source models in Arabic.
Since there aren't standard evaluation datasets or techniques, LLM developers will pick a dataset and metric (e.g. We use perplexity as a metric, based on a proprietary dataset). Some might decide to manipulate their pick to look better; you can always lie with accurate statistics π
I ended up trying @Shortwave, I was very excited, but it sucked too. Every time I ask anything it only checks a max of 100 email threads before it answers.
Needless to say "organize my inbox" (a prompt they promote) is useless if I have ~1500 unread email and they read 100 only.
Come on, #AI integrated into #Gmail should be able to do better!
Reminds me of when Google Home understood "Turn off the lights in the kitchen" but not "Turn off the lights in the kitchen and bedroom".
When will assistants actually act as assitants?
@ahmad_alhour "Numerical Methods for Scientists and Engineers". It's written in the 60s, but Hamming already was discussing AI. Check out the last chapter numbered "N+1", literally.
Introducing complexity should be strongly justified. "I might need this extra abstraction in the future" is not strong enough. If you really believe you will need it, write code that can easily be refactored, but don't introduce the abstraction until it is necessary.
@fmardini Apart from helping me get unstuck, his book had a motto very relevant to what I'm doing: "The purpose of scientific computing is insights, not numbers". (6/6)
I've been looking for an apartment with a view. My geeky solution: pull 30m resolution altitude data of the city, calculate the gradient at every point, overlay a map, and find the most likely places to have nice views.
@tambi_jalouqa@Aqabawe I've found a couple of unexpected places that are on the "wrong side" of a neighborhood border; amazing gradient and hopefully much cheaper.
I wish we had public selling prices like in the US!