Get your coat, we’re leaving.

Retrieval-augmented generation (RAG) is a technique that enables large language models (LLMs) to retrieve and incorporate new information. With RAG, LLMs do not respond to user queries until they refer to a specified set of documents. These documents supplement information from the LLM’s pre-existing training data. This allows LLMs to use domain-specific and/or updated information that is not available in the training data. For example, this helps LLM-based chatbots access internal company data or generate responses based on authoritative sources.

From Retrieval-augmented generation.

Specifically here, I imagine the idea is to talk to the chatbot about what’s in your documents.

I guess the sell is easy access to Proton Drive for RAG here?

Over the scooters take out all the pedestrians, they will be perfectly safe.

Don’t trust him, my fellow dumb fucks!

You don’t have time to tell them all you don’t have time.

you gotta fight bark bark for your right bark bark to partyyyyy bark bark bark bark bark bark bark bark

Computer science is much more than programming. Did you cover other topics like formal logic, finite state machines, computability, crytography, machine learning etc?

Prison escape cake, with a metal file, skeleton key and a knife baked inside.

All good, I don’t think anyone offers it. AFAIK I2P is the only option for free torrent anonymity.

You can torrent on Proton’s free version now?

Yes, but they can still annoy you with dumb lawsuits. Maybe this reduces those.

Maybe thinking of Last Week Tonight’s take on Sinclair Broadcast Group?

Parrots are way smarter than LLMs.

The problem with same batch drives is failing together, potentially beyond your ability to recover with replacement drives.

Because Seagate sell the most drives and all drives fail?

Yep.

If you can do it, you can sometimes use that skill to quickly compare whether two adjacent vertical images are identical. If they are, you will just see a single version of the image as normal. If they are different, you will easily see a ‘fuzzy’ part of the image that won’t resolve and stay still (hard to describe, it’s like when I try to read text in a dream).

A practical application I use now and then is when I want to compare two columns of data on a screen. Use the magic eye technique to overlap the columns and any differences will be immediately obvious, even with a lot of data.

Stupidman.

My favourite thing about these non-wifi wireless protocols is that devices using them seem to want cloud connectivity a lot less than those that come with wifi.

It’s like they are just bad at this. The one device I have where I can’t block YouTube’s ads is set to route through Tokyo, so the ads are in Japanese, which I barely understand.