This is my concern as well. How successful is it in selecting the correct tool out of hundreds or thousands?
Different to what this integration is pushing, the LLMs usage in production based products where high accuracy is a requirement (99%), you have to give a very limited tool set to get any degree of success.
There is a generalized reasoning that current LLMs still miss. It's hard to put a finger on it. Things like hallucinations show that there isn't a self awareness of thought. "Thinking" models are getting closer.
From most of my network trying to make products based on LLMs, excluding cost, the biggest hurdles are hallucinations, and seemingly "non-sensical" reasoning or communicating. Subtle choices that just "feel" not quite right. Particularly when the LLM is being constrained for some activity.
Open-ended chat doesn't show these flaws as often.
An interesting side effect of this low-level bit mapping is that various banks authorization logics can be manipulated to increase auth rates by subtle bit flipping across various fields.
All the big fintech companies have ML running over changes to identify what results in the highest auth rates on a per bin basis.
I have been trying to use these jailbreaks to generate a new prompt for future jailbreaks but I consistently hit warnings on openAI's content policies.
The games themselves but particularly discord as well. Discord is the modern gaming social network. Talk and hangout with friends across multiple games.
This is what I am hoping for. I want to have my tablet mode with iOS apps and interface. Then I want to switch into laptop/desktop mode, being able to spin up any desktop application.
Even more a dream state: would want a docking station that allows me to use my multi monitor setup.
Technology is ever advancing and improving and I’m sure eventually we will get there. Or we’re already there, like I said, I’m out of the loop for past few years so maybe some amazing improvements have happened.
Another inhibitor of this technology is how cheap/behind retail companies tend to be.
We want advanced analytics.
Ok, we can set up these cameras and the like which will send everything to our servers for computation.
We only have dsl at the store.
Ok, then we need to set up a server(s) at the store.
We only want to spend 2k max per store, and use sub-sub-sub contractors to actually set up this equipment.
All of this pain and trouble scared me away from working with retail focused companies for past few years.
I worked for a retail analytics company that would do things like track WiFi/Bluetooth devices, faces, and general shopper traffic.
It had been a few years since I've worked there but the real problem was that all of this didn't work. All these promises to our clients that's you would get data equivalent of online shoppers, in store, but it simply wouldn't work. Guess people age, gender, previously seem face, tracking where they walked. All horribly inaccurate.
Though apparently it's an industry wide thing as "imputing" was common practice. Don't have the data? Make it up!
Generally, Adyen is cheaper than Stripe but Stripe is easier to integrate. When considering moving from Stripe to Adyen, It comes down to a equation of dev cost/resources to integrate to Adyen compared to the amount of reduced fees/increase auth rates.
The more volume you process, the more a switch makes sense. and this difference of mentality is reflected by the fact Adyen has minimum monthly invoices when Stripe does not.
I think the idea is that eBay doesn't want to have users sign up with Paypal anymore. Instead only ever interact with eBay, with Adyen just being the pipes for eBay.
Different to what this integration is pushing, the LLMs usage in production based products where high accuracy is a requirement (99%), you have to give a very limited tool set to get any degree of success.