Meta's Multilingual Magic: Will Their AI Translation Tool Overcome Legal Challenges?

Are you up to date on all things AI?

Well, we’re her to help: Mark Zuckerberg’s Meta just released an AI model capable of translating spoken content between dozens of different languages!

Let's delve into the nitty-gritty: Meta Platforms has produced an artificial intelligence model that can translate and transcribe voice in dozens of languages. This might form the basis of products that facilitate real-time communication across linguistic barriers.

The business claimed that their SeamlessM4T model could allow text-to-speech translations in almost 100 languages and full speech-to-speech translation for 35 languages, bringing together technology that was previously available only in separate models.

To encourage further development by the AI community and researchers, Meta is making Seamless M4TT available under a Creative Commons licence. The SeamlessAlign metadata, which includes over 270,000 hours of mined speech and text, is also being made public by the business. The Meta database boasts that it is the largest of its kind.

SeamlessM4T uses a unified system, which Meta expects to lead to fewer translation mistakes, faster turnaround times and higher quality output. #NLPToNewHeights

Despite the fact that most of the recent work in artificial intelligence has highlighted the limitations of utilising large language models to provide reliable factual information, these models really excel at language translation. Of Meta's prior iterations in translation models, one was a first for a new type of model as it translated the primary spoken language into translated spoken words.

Meta said that the model would be made available to the public for non-commercial purposes.

To compete with proprietary models supplied by Microsoft-backed OpenAI and Alphabet's Google, the world's largest social media firm has launched a flurry of mostly free AI models this year, including a large language model called Llama2.

Mark Zuckerberg, CEO, has stated that he foresees such tools easing communication between people all over the world in the metaverse, a network of interconnected virtual worlds. Even if that does not happen, real-time translation will be a major boost to global businesses.

According to Zuckerberg, Meta benefits from an open ecosystem for AI tools as the firm can generate more revenue through the crowdsourcing of the development of consumer-facing tools for its social platforms than it could through charging for access to the models themselves.

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Meta's AI language model is awesome but it's got some legal hurdles to somersault through. What do we mean? You seem interested, so let's jump right into it!

In July, comedian Sarah Silverman and two other authors sued the AI firms Meta and OpenAI, claiming that the firms had used unlicensed excerpts from their works in its training algorithms.

The researchers at Meta claimed in a research paper that they trained the SeamlessM4T model using 4 million hours of "raw audio originating from a publicly available repository of crawled web data," however they did not disclose which repository they used.

When asked where the audio files came from, a representative from Meta did not provide an answer.

According to the study's methodology, the paper's textual data originated from datasets compiled in the previous year that mined Wikipedia and related websites. This may signal a flurry of lawsuits based on copyright violation for Meta and other AI businesses using such training data for AI models.

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Will Meta's multilingual AI translation model hit the jackpot or stumble in the legal maze? Let us know your thoughts in the comments section below!

First published on Wed, Aug 23, 2023

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Artificial Intelligence (AI)Meta AI Model Speech Translation Multilingual Success Legal Hurdles Innovation Challenges Technology Language Processing Artificial Intelligence

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