AI for Translators

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This article is a summary of a YouTube video "Inteligencia artificial para traductores" by ProZcom
TLDR AI translation models, customizable preferences, and AI-powered linguistic models have the potential to improve accuracy, efficiency, and understanding in language processing, but blind trust in AI can lead to misinformation and lies.

Key insights

  • 🗣️
    AI translation models can learn from previous conversations and user preferences, similar to a human assistant, improving accuracy and understanding over time.
  • 💡
    Customizable preferences in AI translation models can improve accuracy and efficiency by taking into account specific linguistic pairs and user profiles.
  • 💡
    AI-powered linguistic models have the potential to transform texts in various ways, such as expanding, shortening, translating, paraphrasing, and changing the register or gender marks.
  • 🤔
    AI-powered language interfaces can provide instant explanations and multiple perspectives on a subject, enhancing understanding and knowledge acquisition.
  • 🌍
    The linguistic model of Google, called Bart, allows users to modify and qualify answers, providing options to make them shorter, longer, simpler, more casual, or more professional, which can be helpful for various purposes such as writing proposals or answering emails.
  • 💻
    Integrating various automatic translation engines and AI models like GPT into a single platform can provide a great advantage by eliminating the need for multiple windows and allowing for easy comparison of costs and benefits.
  • 🕵️‍♀️
    Blindly trusting artificial intelligence can lead to misinformation and even lies, as seen in a recent case where a lawyer presented fabricated information generated by AI in a criminal case.
  • 😄
    "We don't have to be afraid of artificial intelligence, maybe it will transform our work, but I don't think it's going to end it."
Play video
This article is a summary of a YouTube video "Inteligencia artificial para traductores" by ProZcom
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