You can run llms on text-generation-ui such as open llama and gpt2. It is very similar to the stable diffusion web ui.
TechieDamien
joined 3 years ago
Pffsh, that's baby mode, I use butterflies by releasing them at just the right time to cause the air currents to change just right to cause a solar ray to pass through the atmosphere and flip the bit I want to flip. It is a bit trickier with error correcting memory...
It is just how I prefer to do my computing. I tend to live on the command line and pipe programs together to get complex behavior. If you don't like that, then my approach is not for you and that's fine. As for your analogy, I see it more as "instead of driving down the road in a car, I like to put my own car together using prefabs".
Option 4: levy existing tools such as gpg and git using something like pass. That way, you are keeping things simple but it requires more technical knowledge. Depending on your threat model, you may want to invest in a hardware security key such as a yubikey which works well with both gpg and ssh.
It can't double the dBs. It will only add 3 as dBs are a log scale and +/-3dBs is double/half.
mCaptcha is an open source proof of work tool to tackle bots.
Why did you mention it?! Now we can never unsee it!
Honestly, just jump in and start making something, either following a tutorial and/or referencing the docs as you go. As for free assets, maybe try the creative commons website? Just make sure to adhere to the terms of any license that you use.
3^10-1=59048.
If I'm being honest, it is fairly slow. It takes a good few seconds to respond on a 6800XT using the medium vram option. But that is the price to pay to running ai locally. Of course, a cluster should drastically improve the speed of the model.