Update adaptive-custom-translation.md

Author: laujan

articles/ai-services/translator/custom-translator/azure-ai-foundry/concepts/adaptive-custom-translation.md

@@ -20,7 +20,7 @@ ms.topic: reference
 
 Adaptive custom translation (adaptCT) is a translation enhancement feature, designed to adapt and optimize large language model (LLM) outputs—such as GPT-4o deployed in Azure AI Foundry—using a small set of reference sentence pairs.
 
-AdaptCT APIs for dynamic domain adaptations allow you to upload between 5 and 30,000 prealigned bilingual segments. With this capability, you can quickly build a custom language pair dataset index that's ready in minutes. This index can then be used with [Azure AI Translator 2025-05-01-preview APIs](https://learn.microsoft.com/azure/ai-services/translator/text-translation/preview/overview). Unlike traditional custom models that require large training datasets and separate deployment, AdaptCT uses few-shot learning to dynamically select relevant sentence pairs from the index at runtime. This capability enables on-the-fly adaptation of the LLM's output to match domain-specific terminology, context, and style. `Available via Azure AI Foundry.`
+AdaptCT APIs for dynamic domain adaptations allow you to upload between 5 and 30,000 prealigned bilingual segments. With this capability, you can quickly build a custom language pair dataset index that's ready in minutes. This index can then be used with [Azure AI Translator 2025-05-01-preview APIs](/azure/ai-services/translator/text-translation/preview/overview). Unlike traditional custom models that require large training datasets and separate deployment, AdaptCT uses few-shot learning to dynamically select relevant sentence pairs from the index at runtime. This capability enables on-the-fly adaptation of the LLM's output to match domain-specific terminology, context, and style. `Available via Azure AI Foundry.`
 
 Key Differences
 *    **Custom translator**: Fine-tunes a dedicated translation model using your dataset; model is trained and deployed within ~48 hours.