(no title)
nip | 1 year ago
This is a great way to:
- Have a fail-safe / fallback in case the software does not work as intended
- Allow them to continue training the already immense dataset using real data (as opposed to synthetic data)
nip | 1 year ago
This is a great way to:
- Have a fail-safe / fallback in case the software does not work as intended
- Allow them to continue training the already immense dataset using real data (as opposed to synthetic data)
manmal|1 year ago
LightBug1|1 year ago
Count me out. This is a laughable version of the promised vision.
unknown|1 year ago
[deleted]
hgomersall|1 year ago
andrewinardeer|1 year ago
huijzer|1 year ago