Microsoft has recently deployed Z-code models to improve common language understanding tasks such as name entity recognition, text summarization, custom text classification and key phrase extraction across its Azure AI services. To put these models in production, Microsoft is using NVIDIA GPUs and Triton Inference Server to deploy and scale them efficiently for high-performance inference. This architecture allows massive scale in the number of model parameters while keeping the amount of compute constant. These models use a sparse “Mixture of Experts” approach that is more efficient to run because it only needs to engage a portion of the model to complete a task, as opposed to other architectures that have to activate an entire AI model to run every request. “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,” Huang said.
It also helps extend those capabilities beyond the most common languages across the globe to underrepresented languages that have less available training data. Z-code takes advantage of shared linguistic elements across multiple languages via transfer learning -which applies knowledge from one task to another related task - to improve quality for machine translation and other language understanding tasks. “Our goal is to help everyone and every organization on the planet to communicate better, and to achieve that goal there are really two important dimensions - we want the quality of translations to be as good as possible and we want to support as many languages as possible,” said Xuedong Huang, Microsoft technical fellow and Azure AI chief technology officer.
#Code translator code#
Step5: When get last space of the message that means this is the last letter of Morse Code Generator.Microsoft is making upgrades to Translator and other Azure AI services powered by a new family of artificial intelligence models its researchers have developed called Z-code, which offer the kind of performance and quality benefits that other large-scale language models have but can be run much more efficiently. Step4: When get 2 consecutive spaces we will add another space to our variable containing the decoded string. Step3: When we get space then check with Morse Code Dictionary and store in a variable. Step2: Now we traverse each letter of the message until space is not encountered. Step1: First we add a space at the end of the string. Step3: Two spaces should be maintained in between every word. And we have to follow that one space should be maintained between every Morse code. Step2: Next step is to store the code into a variable. Step1: Given a string, atfirst we extract each letter from the word and match with the Morse Code dictionary, then we consider the code corresponding the letter. We just encrypt the message from message to symbols and decrypt from symbols to English.
#Code translator series#
Every alphabet in English signifies a series of ".",",","/","-".
By this technique we convert a message to a series of dots, commas,"-","/". Morse Code Translator is used in Cryptography.
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