Section outline

  • LESSON 3 - ARTIFICIAL INTELLIGENCE FOUNDATIONS FOR BROADENING CULTURAL HORIZONS

    Language Models: Everywhere?

    In this lesson, we dive into generative artificial intelligence and language models: systems capable of producing text, images, or code from bigs amounts of data. How do these models work? What does it mean for them to be "predictive"? How do commercial models differ from open-source ones? We analyze their features, types, and the range of tasks they can perform  (generating text, summarizing, translating, editing, assisting, and holding conversations).

    At the same time, we open to reflection: What are the implications of these tools becoming standardized from from early stages of education? Beyond enthusiasm or rejection, the invitation is to think critically about their use: Where can they add value? What risks do they pose regarding dependency, data privacy, and teaching autonomy?

    👨‍🏫 Instructor: Marcos Gómez

    • Language Models: Everywhere? URL

      Prefer to watch in a language other than Spanish? Just turn on CC, go to Settings (⚙️) > Subtitles > Auto-translate, and select your language!

    • Below you will find the lesson slides, designed as a reference to revisit the ideas, questions, and tensions raised in the video. (Please note: The slides are in Spanish).

      📚 Key Concepts

      Generative AI: A type of artificial intelligence (AI) system capable of generating text, images, or other media in response to prompts. Generative AI models learn the patterns and structure of their input training data and then generate new data that shares similar characteristics.

      Example: DALL-E is a generative AI model that can create unique images from text descriptions, such as "a blue cat sitting on a moon made of cheese."

      Reference: Wikipedia. Generative artificial intelligence. Retrieved from https://es.wikipedia.org/wiki/Inteligencia_artificial_generativa

      A creation by Fundación Vía Libre in collaboration with FAMAF – UNC.
      With the support of: Mozilla , FAIR , and Data Empowerment Fund .
    • Assignment: Language Models: Everywhere? Quiz