TELUS International AI Data Solutions

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There are over 7,000 languages spoken in the world, yet most AI chatbots are trained on only around 100 of them. And English, despite being spoken by less than 20% of the world’s population, accounts for almost two-thirds of websites and is the main driver of LLMs. Despite the gradual emergence of Multilingual Language Models (MLMs), they “are still usually trained disproportionately on English language text and thus end up transferring values and assumptions encoded in English into other language contexts where they may not belong”. They give the example of the word “dove”, which an MLM might interpret in various languages as being associated with peace, but the Basque equivalent (“uso”) is in fact an insult. What’s needed is the development of non-English Natural Language Processing (NLP) applications, say experts, to help reduce the language bias in generative AI and “preserve cultural heritage”. Governments and the tech community and even individuals are taking steps to resolve the AI language issue. For example, the Indian government is building Bhashini, an AI translation system trained on local languages. In New Zealand, local broadcaster Te Hiku Media is harnessing AI to aid the “preservation, promotion and revitalization of te reo Māori.” In a similar endeavour, grassroots organization Masakhane is working to “strengthen and spur NLP research in African languages”. With a language “disappearing” at a rate of one every fortnight, according to UNESCO, generative AI could prove to be the death knell, or the saviour, of many of them.🗣️ Source: WeForum.org #AI #GenAI #multilanguageAI

One of the industries/niches that AI has impacted greatly is the content creation side. Businesses and organizations can now leverage generative AI to create convincing content across modes with relative ease. Though this presents a positive leap forward, the ubiquity of generative AI means that bad actors have access to it too. Misleading content, poor quality, inaccuracy, and intellectual property issues are just some of the challenges genAI produces. ⚠️🛑 To counter the threat of bad actors using generative AI, brands need to take and hone a holistic approach to content moderation. For instance, human moderators 👨💻👩💻 — or as we refer to them, digital first responders — still have an important part to play in a proficient trust and safety operation. Read below to learn more about the challenges posed by GenAI in terms of content creation and the role humans play in content moderation and AI model validation and tuning. #AIincontent #AIforAll #GenerativeAI

Let's take a glimpse at Matt's everyday schedule as he balances his studies and freelancing as an Online Ads Assessor. 👉 Why Join? Flexible Hours: Work around your class schedule. Remote Work: No need to commute—work from anywhere! Skill Development: Gain real-world skills and experience. Extra income: Earn a fair income for your efforts. 🌟 Start your freelance journey today by signing up and joining our diverse AI community with TELUS International! #StudentLife #Freelance #WorkFromHome #EarnWhileYouLearn

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Ever wondered how AI can understand and generate human language so naturally? It's all thanks to Natural Language Processing (NLP)! 🌐 NLP is the driving force behind many of the incredible advancements in #GenAI. NLP enables AI to comprehend context, powers real-time translation tools, helps sift through vast amounts of unstructured data, and makes technology more accessible. Read more about how #NLP is transforming the way we interact with technology, making our digital experiences more human-like and enhancing our daily lives in countless ways. 🌍💡