The front door. These also appear under their use case below.
AI & ML interests
Agents make mistakes. Those mistakes are the most valuable training data there is. Only While. turns them into a dataset, post-trains an open model on it with SFT and RL, and proves the agent stopped repeating them on a held-out test.
Recent Activity
Organization Card
Turn agent mistakes into training data. Production traces become a dataset, the dataset post-trains an open model you own, and a held-out test says whether the agent stopped repeating the mistake. The last step is the one most pipelines skip.
Everything here is produced by our open-source SDK and published with the numbers behind it. A model ships when it beats its base on a held-out set with an interval that clears zero. If it does not, it does not ship.
pip install whileai
Collections group this org by use case
models 13
while-ai/airline-jailbreak-4b
Text Generation • Updated • 7
while-ai/airline-concise-4b
Text Generation • Updated • 6
while-ai/retail-concise-4b
Text Generation • Updated • 1
while-ai/identity-4b
Text Generation • Updated • 17
while-ai/ecommerce-0.5b
Text Classification • Updated • 21
while-ai/ecommerce-1b
Text Classification • Updated • 19
while-ai/text-to-sql-shop-r5
Text Generation • Updated
while-ai/text-to-sql-shop-nemotron-8b-r1
Text Generation • Updated • 11
while-ai/text-to-sql-shop-r4
Text Generation • Updated • 23
while-ai/text-to-sql-shop-r3
Text Generation • Updated • 11
datasets 11
while-ai/brand
Viewer • Updated • 1
while-ai/text-to-sql-shop
Viewer • Updated • 16.6k • 73
while-ai/character-training-model-spec
Preview • Updated • 44
while-ai/retail-voice-concise
Viewer • Updated • 1.04k • 11
while-ai/airline-resist-jailbreaks
Viewer • Updated • 567 • 32
while-ai/airline-voice-concise
Viewer • Updated • 942 • 14
while-ai/tool-call-efficiency
Viewer • Updated • 8.97k • 55
while-ai/tau2-simulated
Viewer • Updated • 1.06k • 66
while-ai/identity-behavior
Viewer • Updated • 3.2k • 80
while-ai/ecommerce-intent
Preview • Updated • 40
