Meta’s Multimodal Translator Utilizes Single Model to Translate into 100 Languages
While it may not be fully capable of bringing about the highly anticipated Doolittle future, modern AI translation techniques are effectively converting the approximately 6,500 spoken and written communication systems used by humanity. However, the issue lies in the fact that each of these models excels in only one or two tasks, such as translating, converting text to speech, or speech to text. Consequently, multiple models need to be combined to achieve the comprehensive performance observed in platforms like Google Translate or Facebook’s diverse language services. It’s a computationally intensive…
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