Typing when you need it gives you more freedom over a toggle. You can choose to type some parts of the code while leaving other parts untyped.
For example, if I’m writing a quick and simple Python script I may forgo typing, but when iterating on it I’d go back and add the types I need.
Python 3.x will never have static typing because that would break backwards compatibility.
However, typing hints have been Integrated into Python for a while, and you are heavily recommended to use them, so your IDE can enforce typing.
This is too high level for me to understand.
Would you claim someone using the phrase “killing two birds with one stone” is perpetuating animal violence?
From Wikipedia:
The phrase big dick energy denotes an easy confidence or sense or assurance and purpose. In general, having big dick energy is unrelated to whether or not someone actually has a big penis or any penis at all. The term is not gender exclusive, and can be applied to women.
Stop getting bent out of shape over stupid bullshit. It detracts from the people bringing real inequalities to light.
It’s an idiom
What’s funnier is that you didn’t even include the allegedly gold comment in the screenshot.
Since you are using Windows, you can try setting the CUDA_HOME to point to your CUDA installation folder through the “Edit Environment Variables” window.
However, this guide seems pretty convoluted. I would recommend using one of the many Llama models people have already compiled and shared in HuggingFace.
Are there games which don’t use this mechanic? Might be interesting to check out.
You should try that mod that adds thousands of lines of lore-friendly dialogue across all NPCs.
Oh boy
Great show, and you should definitely watch it. But no one can say they were truly ready for it.
Anybody want to WHAT?
Ikr it feels like the API debacle just happened a couple of months ago
You might need it for your cekeday today!
To add to the other commentators, it also has a task list / journal which should help you remember things to do through sessions.
Isn’t that a receiver?
That’s a pretty comprehensive write-up, thanks
At a certain point, layers will be pushed to RAM leading to incredibly slow inference. You don’t want to wait hours for the model to generate a single response.