analog chips could also be very interessting instead of using digital signals and processing them against the weights in the ROM. I have no idea if that scales with such big models though.
some years ago i tried this setup for a german company with a special char in its name („ä“) and failed because Apple was not able to match it against DUNS. It took months of support to get it done.
ef core is great for simple queries and modification of your data while using the changetracker.
You can use AsNoTracking/Projection to perform similar like dapper for queries.
When using command query seperation you can also use dapper for queries and ef core for commands.
in many cases: no service health alerts, no status page updates and no confirmations from the support team in tickets.
still we can confirm these issues from different customers accross europe. Mostly the issues are regional dependent.
what is a unhealthy request? is searching for a user which was _not found_ by the server unhealthy? was the request successful? thats where different opinions exist.
The idea is to replicate the weights of the network in the electronics. Somehow like our brains work? This way an analog input signal could lead to a neural network processed output signal without the digital emulation on an gpu. As this is very much simplified, the question is if this could work for modern llms?