• The Human Guide to Artificial Intelligence - WTF is AI - Ep 1

  • 2025/04/08
  • 再生時間： 31 分
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The Human Guide to Artificial Intelligence - WTF is AI - Ep 1

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  • Artificial Intelligence isn’t just for data scientists. In Episode 1 of WTF is AI?, we make AI human—with dogs, toddlers, Netflix, and pizza analogies that actually make sense. 🎧 A must-listen for professionals navigating the AI revolution.

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    Reference List & Further Reading

    General AI Concepts:

    • Russell & Norvig. Artificial Intelligence: A Modern Approach
    • Stanford’s “AI Index Report” (https://aiindex.stanford.edu)
    • Google’s “AI for Anyone” Guide: https://ai.google/education/

    On Transformer Models:

    • “Attention Is All You Need” (Vaswani et al., 2017)
    • OpenAI’s GPT-3 and GPT-4 papers
    • Illustrated Transformer Guide by Jay Alammar: https://jalammar.github.io/illustrated-transformer/

    Ethics & Society:

    • Kate Crawford – Atlas of AI
    • Ruha Benjamin – Race After Technology
    • Timnit Gebru’s work on algorithmic bias
    • AI Now Institute: https://ainowinstitute.org

    Accessible AI Tools (Try it Yourself):

    • ChatGPT: https://chat.openai.com
    • DALL·E: https://openai.com/dall-e
    • Google Teachable Machine (for kids/educators): https://teachablemachine.withgoogle.com
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あらすじ・解説

Artificial Intelligence isn’t just for data scientists. In Episode 1 of WTF is AI?, we make AI human—with dogs, toddlers, Netflix, and pizza analogies that actually make sense. 🎧 A must-listen for professionals navigating the AI revolution.

===========

Reference List & Further Reading

General AI Concepts:

  • Russell & Norvig. Artificial Intelligence: A Modern Approach
  • Stanford’s “AI Index Report” (https://aiindex.stanford.edu)
  • Google’s “AI for Anyone” Guide: https://ai.google/education/

On Transformer Models:

  • “Attention Is All You Need” (Vaswani et al., 2017)
  • OpenAI’s GPT-3 and GPT-4 papers
  • Illustrated Transformer Guide by Jay Alammar: https://jalammar.github.io/illustrated-transformer/

Ethics & Society:

  • Kate Crawford – Atlas of AI
  • Ruha Benjamin – Race After Technology
  • Timnit Gebru’s work on algorithmic bias
  • AI Now Institute: https://ainowinstitute.org

Accessible AI Tools (Try it Yourself):

  • ChatGPT: https://chat.openai.com
  • DALL·E: https://openai.com/dall-e
  • Google Teachable Machine (for kids/educators): https://teachablemachine.withgoogle.com
続きを読む 一部表示

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