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Google Says There’s a Better Way to Create High-Quality Training Data for AI Translation

In an October 14, 2024 paper, Google researchers highlighted the potential of AI translations refined by humans or human translations refined by large language models (LLMs) as alternatives to traditional human-only references.

Talking to Slator, Zhongtao Liu, a Software Engineer at Google, explained that their study addresses a growing challenge in the translation industry: scaling the collection of high-quality data needed for fine-tuning and testing machine translation (MT) systems.

With translation demand expanding across multiple languages, domains, and use cases, traditional methods that rely solely on human translators have become increasingly expensive, time-consuming, and hard to scale.

https://slator-language-indust....r-way-to-create.html

#aitranslation #machinelearning #slatornews #googleai #languagetech #naturallanguageprocessing #machinetranslation #aitechnology #translationindustry #innovation #slator

Google Says There’s a Better Way to Create High-Quality Training Data for AI Translation

In an October 14, 2024 paper, Google researchers highlighted the potential of AI translations refined by humans or human translations refined by large language models (LLMs) as alternatives to traditional human-only references.

Talking to Slator, Zhongtao Liu, a Software Engineer at Google, explained that their study addresses a growing challenge in the translation industry: scaling the collection of high-quality data needed for fine-tuning and testing machine translation (MT) systems.

With translation demand expanding across multiple languages, domains, and use cases, traditional methods that rely solely on human translators have become increasingly expensive, time-consuming, and hard to scale.

https://slator-language-indust....r-way-to-create.html

#aitranslation #machinelearning #slatornews #googleai #languagetech #naturallanguageprocessing #machinetranslation #aitechnology #translationindustry #innovation #slator

🚀Google just changed the name of Bard to Gemini, which represents a major change in the company's AI approach. The goal of this transition is to unify AI services under one roof, improving accessibility and optimizing user experience. Google wants to become a dominant force in the AI space by providing cutting-edge solutions to match changing technological demands, and this is what Gemini is all about. Find out more about this fascinating change! 🔍 https://bit.ly/3HWekoD

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🤖 Unlock the power of AI content creation with tools like #gpt3.5 and #midjourney!

🚀 Dive into the world of seamless information retrieval and creative content generation. 📝✨ Learn how OpenAI's GPT-3 taps into internet data, making it a go-to for users seeking relevant content with minimal input. 💡 Discover the visual magic of Midjourney, turning text prompts into stunning images via Discord Commands.

Read More: https://www.wistomagazine.com/....i-generated-content/

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