Stuff like certain architectures, reading LLM for promoting multi modal llms.
Then we have stuff like insteuctgpt, ml models for robots, lots and lots of research from Nvidia for virtual simulation and transfer to real world, digital twin is also a relevant art in agi.
Object detection is also much better and has nothing to do with llms. Segment anything from FB for example.
Whisper and sd are also not LLM.
There are a ton of puzzle peaces slowly falling in place left and right.
They may not be "large" in the same sense that GPT4 is "large" but apart from then simulator stuff, every single one of the models you mentioned is transformer-based. Every one of them basically includes encoders to project different modes of information (images and audio) into a "language-like" space so that it can be compared with and mapped to and from text. I think it's fair to say that language models, if not LLMs, unlocked a surprising amount of power.
But I feel well entertained watching them fall. Like using them and experimenting around.
But it also shows the road ahead quite clear. For example were is the money coming from? From millions of people paying for GitHub copilot for example.
How is it sold? Per webui, API and cloud providers.
Digital twin will also play a huge role in this as a bridge between AGI <> real world.
> I communicate with openai German and English how ever I see fit.
I did not foresee that you could mix input languages. That’s fascinating. Multilingual people use languages for different purposes, often in the same sentence. Ie: technical jargon in English, a joke in Arabic, etc.
I expect the difference in connotation/feeling/mood to be less relevant for an LLM, if you’re working with facts. But there was a recent post showing LLMs performing better when you said you were stressed/scared. Did you notice any such differences for your multi-lingual inputs?
True but in comparison to every other value crypto is the only one which doesn't have any alternative use.
Gold, shares etc.
I believe the criticism is correct as the current driver of crypto is either a 'i put that much money in I'm not selling until it increases again' or gambled los.
After all the miners want to get paid.
But hey binance and others struggle let's see if there is a collapse soon
The intermediate is either a trust system in the real world, escrow service at dark net drug pages or the miner.or the traider who traides your fiat to crypto.
Stuff like certain architectures, reading LLM for promoting multi modal llms.
Then we have stuff like insteuctgpt, ml models for robots, lots and lots of research from Nvidia for virtual simulation and transfer to real world, digital twin is also a relevant art in agi.
Object detection is also much better and has nothing to do with llms. Segment anything from FB for example.
Whisper and sd are also not LLM.
There are a ton of puzzle peaces slowly falling in place left and right.