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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