Yeah, I use that feature all the time. It’s really great. I can upload an image of text data and get an output in table or summary format.
hemmes
which means you’ll never have to slow down for a speed bump ever again
That one got me laughing
I heard he posted in green text
That’s not how names work
He’s probably just making these take over suggestions to get his bat shit crazy constituents okay with the concept, in preparation for his aggressive support of Russia’s attempted take over of Ukraine.
Like Mordo, Putin has I’m sure reminded Trump The bill comes due
Okay, I was going to say, I mean snowballs have decent chances at the right time, right? Lol
Whelp…
It’s a good thing Trump was elected. He did so well with the whole Covid thing, I’m sure this will go just as smooth. What, with that crack team of experts he’s putting together…
…oh man we are so fucked
Perfection…
Are you looking for something free?
MS Intune works very well especially when using multiple platforms. Not positive about the Chromebook though.
No worries. I just like having conversations with others about tech I’m in to
No, you shouldn’t blindly trust whatever a chat bot outputs. You have to set your expectations correctly with an LLM. You have to learn and practice how to prompt to make the best of the utility of an LLM.
Understanding that an LLM is best at sorting data is the first step. A simple example is my use case from the other day: I was making a table for my company’s 2025 holiday schedule. We base our holidays on our local union holiday schedule. Currently, the union has the 2024 schedule posted on its webpage. I took a screenshot of the schedule which was listed as
Holiday Date Day Christmas December 25 Wednesday
And so on for the 10 or so days.
I uploaded the screenshot JPG and asked ChatGPT to format the list in the JPG as a table. It quickly gave me a nicely formatted text table of the 2024 holiday schedule from the image’s data. I then asked it to update the table data for 2025 dates and days and it did so easily. I verified the days were correct - they were - and copied the table onto my word letterhead and posted to our SharePoint site. It was very useful - a simple example.
You need to take everything with a grain of salt when it comes to LLMs and really understand what the LLM is and how it works. Set your expectations correctly and it can be a very powerful utility.
It’s unfortunate that folks just rage out at the sight of LLMs, maybe because they had a bad experience themselves. I think people want it to be a Jarvis and it’s just not that. It feels like you can just talk to it and it’ll just understand and give you the right answer but it won’t. It has to reply with something that it rationalizes as the most likely answer; which words should I output that are most likely what the user wants to see? This is why most output sounds like it’s “fact”. But it doesn’t know from fact, only how to sort data.
So, yes, you should never blindly trust an LLM output, but you can practice how to prompt, and really ask yourself what do I need from my unsorted data that I’m feeding this chat bot? Am I giving it enough data to sort through? Because if you don’t prompt with enough data it will fill in the blanks as best it can and that may result in something totally different than what you expected.
Sorry, the prisoners with jobs