Where does the ...media get sourced from? Looks like pornhub gifs. You could think of a integration for some nsfw subreddits as well (if you can get past the api barrier they built up, like with redlib).
Bricked my pc twice because of the bootloader and couldn't repair it. From now on i just nuke my system if something is fucky and have a shell script do the installing of packages etc.
I had a friend come over to my place to fix her laptops wifi. After about an hour searching for any setting in windows that i could have missed, i coincidentally found a forum where one pointed out this could be due to a hardware wifi switch...
I'm not sure if I understand your question, but if you are trying to build a solution, you will have to know the problem. I am writing said mailings, database, rest interfaces etc. for which Java and Spring boot is pretty useful. Some people might consider this antiquated. I also used python for data science stuff in the past. Neither would i like to have been using java back then, or python now. But in both cases i needed to know what i was building before i (or my employer) chose the technology to use.
If you are offered a position where you will have to use a technology for something you think its not a good fit for then run. Some people might even be more interested in you if you tell them as it makes you look more experienced. And you're right, it is usually not worth it to have religious wars over 0.xy percents of performance gain, as long as you're not trying to build a house with a screwdriver.
Let's hope that this is not a productive system. I want to say that you'd have to try hard to do something that stupid, but then again, knowing from myself, you can cause a lot of trouble with a single command in a cli somewhere.
Yes, since we have similar gpus you could try the following to run it in a docker container on linux, taken from here and slightly modified:
bash
#!/bin/bash
model=microsoft/phi-2
# share a volume with the Docker container to avoid downloading weights every run
volume=<path-to-your-data-directory>/data
docker run -e HSA_OVERRIDE_GFX_VERSION=10.3.0 -e PYTORCH_ROCM_ARCH="gfx1031" --device /dev/kfd --device /dev/dri --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:1.4-rocm --model-id $model
Note how the rocm version has a different tag and that you need to mount your gpu device into the container. The two environment variables are specific to my (any maybe yours also) gpu architecture. It will need a while to download though.
Huggingface TGI is just a piece of software handling the models, like gpt4all. Here is a list of models officially supported by TGI, although they state that you can try different ones as well. You follow the link and look for the files section. The size of the model files (safetensors or pickele binaries) gives a good estimate of how much vram you will need. Sadly this is more than most consumer graphics cards have except for santacoder and microsoft phi.
I tried Huggingface TGI yesterday, but all of the reasonable models need at least 16 gigs of vram. The only model i got working (on a desktop machine with a amd 6700xt gpu) was microsoft phi-2.
I have a 5800X processor and 6700XT GPU which the site claims is barely ok. In reality my CPU is hardly ever doing anything when gaming while the GPU is at 100% usage all the time.
For a higher GPU, like the 7900XT (which i believe will have the power of a speculative 8800XT which i want to buy) the site claims the CPU to be the bottleneck.
Now i know that there is more to it than just the usage in the control center, but does this seem sketchy to someone else?
I recently bought a second external drive to do a backup of the first one. In the process I'm going to switch to btrfs. It can do data scrubbing which allows for self repair of corrupted data, which can occur if you leave a drive unpowered in a closet for some years.
Yes, because