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.
| curl https://ipinfo.io/city -s |
| NSUInteger length = deviceToken.length; | |
| const unsigned char *buffer = deviceToken.bytes; | |
| NSMutableString *hexString = [NSMutableString stringWithCapacity:(length * 2)]; | |
| for (int i = 0; i < length; ++i) { | |
| [hexString appendFormat:@"%02x", buffer[i]]; | |
| } | |
| NSLog(@"device token %@", hexString); |
watchman watch-del-all && rm -rf $TMPDIR/react-* && rm -rf $TMPDIR/metro* && rm -rf $TMPDIR/haste-*
rm -rf ~/.rncache
rm -rf ~/Library/Caches/com.facebook.ReactNativeBuild // from RN 0.59
rm -rf ~/Library/Developer/Xcode/DerivedData/*
rm -rf ~/Library/Caches/CocoaPod
| { fontWeight: '100' }, // Thin | |
| { fontWeight: '200' }, // Ultra Light | |
| { fontWeight: '300' }, // Light | |
| { fontWeight: '400' }, // Regular | |
| { fontWeight: '500' }, // Medium | |
| { fontWeight: '600' }, // Semibold | |
| { fontWeight: '700' }, // Bold | |
| { fontWeight: '800' }, // Heavy | |
| { fontWeight: '900' }, // Black |