Bootstrap knowledge of LLMs ASAP. With a bias/focus to GPT.
Avoid being a link dump. Try to provide only valuable well tuned information.
Neural network links before starting with transformers.
- # download VIMAGE to a spare FreeBSD box | |
- unxz -T0 # uncompress | |
- mdconfig image.raw; mount # for editing | |
- sshd_enable | |
- devmatch_blacklist="virtio_random.ko" # avoid a bug | |
- PermitRootLogin | |
- /root/.ssh/authorized_keys | |
- umount; mdconfig -d | |
- xz -T0 -9 # compress edited image | |
- cp nginx/ # publish with any web server |
mv -v ~/Library/Application\ Support/.lpxuserdata ~/.Trash |
build-container: | |
stage: build | |
image: | |
name: moby/buildkit:rootless | |
entrypoint: [ "sh", "-c" ] | |
variables: | |
BUILDKITD_FLAGS: --oci-worker-no-process-sandbox | |
before_script: | |
- | | |
mkdir ~/.docker |
#!/usr/bin/swift | |
import Foundation | |
let path = URL(fileURLWithPath: NSString(string: "~/Library/Application Support/.ffuserdata").expandingTildeInPath) | |
let data = try! NSData(contentsOf: path) as Data | |
let dictionary = try! NSKeyedUnarchiver.unarchiveTopLevelObjectWithData(data) as! NSDictionary | |
let mutableDictionary = dictionary.mutableCopy() as! NSMutableDictionary | |
for (key, value) in mutableDictionary { |