Content by mohamed elghazali (3)

Mohamed Elghazali walks through Azure Translator’s adaptive translation workflow in Microsoft Foundry, showing how to improve domain-specific terminology using a few reference sentence pairs or a reusable adaptive dataset, without training a custom model.
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Mohamed Elghazali announces the GA release of Azure Translator API version 2026-06-06 and explains how a unified endpoint can route between NMT and LLM-based translation, with adaptive customization options to control terminology, tone, and style for multilingual applications.
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Mohamed Elghazali presents an in-depth developer guide to Adaptive Custom Translation (AdaptCT) in Microsoft Foundry Tools, highlighting streamlined translation customization with Azure-based AI, hand-on API usage, and practical workflow tips.
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