They then have to train it to hear certain voices and particular dialects. The engineers decide what languages it can operate in. Sounds contradictory, no? How could an app that allows people to speak and be understood in their own language be detrimental to language variety?įor Microsoft or Google to release a tool for languages, development process works in a very specific way. These tech giants are the new world empires, following neatly in the footsteps of empires, from the Babylonians to the British, who initiated language-loss millennia ago. Both of them are developing real-time translating apps, where people can speak and hear their own language as they converse with someone speaking a different language. Microsoft is killing language diversity-but they’re not the only high-tech culprit. They will be able to use the machine translation to translate text in Microsoft Word, Powerpoint, and PDF documents.How can tech companies aid the survival of minority languages? It is currently only available for select customers who have to be approved by Microsoft first. The new model is now in production, and is powered by Nvidia's GPUs and its Triton Inference Server software, achieving up to a 27x speedup over non-optimized GPU configurations, apparently. 'For our production model deployment, we opted for training a set of five billion parameter models, which are 80 times larger than our currently deployed models,' according to Redmond's Hany Awadalla, principal research manager, Krishna Mohan, principal product manager, and Vishal Chowdhary, partner development manager. Microsoft claims breakthrough in quantum computer systemĮngineers at Microsoft used GPUs to train the Z-code Translator model.Machine-learning models more powerful, toxic than ever.Even complex AI models are failing 5th grade science.Microsoft, OpenAI method could make training large neural networks cheaper.'With Z-code we are really making amazing progress because we are leveraging both transfer learning and multitask learning from monolingual and multilingual data to create a state-of-the-art language model that we believe has the best combination of quality, performance and efficiency that we can provide to our customers.'

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