The meta-data and model artifacts from experiment tracking can contain large amounts of data, such as the training model files, data files, metrics and logs, visualizations, configuration files, checkpoints, etc. In cases where the experiment tool doesn't support data storage, an alternative option is to track the training and validation data versions per experiment. They use remote data storage systems such as S3... - Source: dev.to / 13 days ago

What's the difference between this and Git-LFS? https://git-lfs.com/. - Source: Hacker News / 2 months ago

It doesn't, since Git's data model has to be changed to content-defined chunks to solve the issue. You should look at git-lfs[1] instead. [1] https://git-lfs.com. - Source: Hacker News / 4 months ago

Congrats on the HN launch. How does this improve or expand or blow git-lfs[1] out of the water because if I needed large blob file support it's what I would use instead. It offers pointers to the big files to the hosted git instead of pushing around the binaries itself -- though I am speculating since I've not used it myself just read about it online. [1] https://git-lfs.com/. - Source: Hacker News / 5 months ago

While sleuthing around, I came across an old podcast episode from ShopTalk Show about blogging and later tips on utilizing Git LFS as an option to sync and managed timestamp changes to large image files, videos, audio, and design files such as Photoshop files. According to the official Git LFS documentation, you can continue to commit changes as usual on your end and what Git LFS does it creates little pointer... - Source: dev.to / about 1 year ago

Well, it's the first Samba release in the ports since 4.13, and it isn't marked as broken. I'm not sure why you'd look on the samba.org site to see if the FreeBSD port has defects, or why you'd give me a link link to the Samba wiki for 4.13 when I'm very clearly asking about 4.16. Source: over 1 year ago