while-ai
/

airline-concise-4b

@@ -20,7 +20,7 @@ register against 2.2% for the base model, and it omits required information
 *less* often than the base while being a quarter as long.
 A LoRA adapter trained on 525 rows generated by the
-[While AI SDK](https://www.zeroproofai.com) against tau-bench's airline
 database. The register is a disposition in the weights, not an instruction:
 the constitution reached only the teacher that wrote the training replies, and
 neither evaluated model ever sees it.

 *less* often than the base while being a quarter as long.
 A LoRA adapter trained on 525 rows generated by the
+[whileai SDK](https://github.com/whilehq/whileai-sdk) against tau-bench's airline
 database. The register is a disposition in the weights, not an instruction:
 the constitution reached only the teacher that wrote the training replies, and
 neither evaluated model ever sees it.