There’s hardly any work for programmers and there hasn’t been for years, I’d say over a decade.
There is a massive demand for professionals, scientists and engineers who are tech literate and know programming.
Go develop hard skills in some field and use programming to set yourself apart.
With respect to 2, it would stop others scrapping the content to train more open models on. This would essentially give Reddit exclusive access to the training data.
Bind tun0 in the settings but what I do is run BitTorrent in a docker container with WireGuard so the vpn doesn’t effect my day to day browsing
Let’s put it this way, I’d be surprised if they didn’t have a backup of each single one of your messages.
Just add 11 to utc.
No harder than having different times in different places.
So it looks like protonmail is actually legit then
Of course poor regulation can be bad, it was a silly question that was loaded. Look at, for example the 2002 tort reforms and the damage that did to public safety.
Imagine how much damage could be done to individual privacy and freedom by an ill informed legislature if they elect to regulate gradient descent.
No, they said bs is published about ai.
Basically, RoCM and CUDA allows one to do math on the GPU. Most Linear Algebra operations (i.e. LLM or NNs and ML generally) can be parallelized over a GPU which is much more performant than CPU.
To perform calculations on GPU, one needs some sort of interface to to their programming language of choice, NVIDIA has CUDA which is in CPP with bindings to python: (pytorch, Tensorflow etc. ), Julia: Flux etc.
RoCM is AMDs solution, there bindings are young and not widely implemented.
My advice, play around with Flux RoCM and PyTorch RoCM just to get an idea. Suffice it to say, when I started doing RL and LLMs more seriously I gave up my colab and sold my AMDs to fund a 3060.
You want H2OGPT or just use Langchain with CLI
I just use and old laptop
If and only if the trained model is accessible without licence.
E.g. I don’t want Amazon rolling out a Ilm for $100 a month based on freely accessible tutorials written by small developers.
But yeah duck copyright
I wish there was more variety.
You basically have BSD and Linux and in the Linux space {glibc/musl systemd/openrc/runit PKGBUILD,ebuild,deb,rpm} which seems like a lot but it’s the really niche stuff that’s fun to pull apart and play with.
Well to clarify the two big differences here are that the exe is pre compiled and maybe dynamic libraries.
Heavy tech stacks do suck though
These comments often indicate a lack of understanding about ai.
Ml algorithms have been in use for nearly 50 years. They certainly become much more common since about 2012, particularly with the development of CUDA, It’s not just some new trend or buzz word.
Rather, what we starting to see are the fruits of our labour. There are so many really hard problems that just cannot be solved with deductive reasoning.
The mistral-7b is a good compromise of speed and intelligence. Grab it in a GPTQ 4bit.
If you can find a copy yeah. GNU sed isn’t written for windows but I’m sure you can find another version of sed that targets windows.
Oh no you need a 3060 at least :(
Requires cuda. They’re essentially large mathematical equations that solve the probability of the next word.
The equations are derived by trying different combinations of values until one works well. (This is the learning in machine learning). The trick is changing the numbers in a way that gets better each time (see e.g. gradient descent)
Many are close!
In terms of usability though, they are better.
For example, ask GPT4 for an example of cross site scripting in flask and you’ll have an ethics discussion. Grab an uncensored model off HuggingFace you’re off to the races
This is the only path forward.