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This term describes AI that can perform any intellectual task a human can do, not just narrow specialized functions.
Difficulty: Easy- Artificial General Intelligence
- Machine Learning
- Deep Learning
- Robotic Process Automation
This AI researcher, known as one of the godfathers of deep learning, left Google in 2023 citing concerns about AI dangers.
Difficulty: Medium- Yann LeCun
- Yoshua Bengio
- Geoffrey Hinton
- Andrew Ng
This scaling law observation suggests that model performance improves predictably with increases in compute, data, and parameters.
Difficulty: Hard- Neural scaling laws
- Moore's Law
- Amdahl's Law
- Little's Law
This popular AI chatbot, released by OpenAI in November 2022, sparked the current generative AI revolution and became the fastest-growing consumer app in history.
Difficulty: Easy- ChatGPT
- Google Bard
- Claude
- Alexa
This attention variant adds linear bias terms based on position distance instead of learned embeddings, enabling extrapolation to longer sequences without additional training.
Difficulty: Medium- ALiBi
- RoPE
- Sinusoidal encoding
- NoPE
This approach to multi-agent learning uses centralized training with decentralized execution, sharing information during learning but not deployment.
Difficulty: Hard- Independent learning
- Emergent communication
- CTDE
- Fully centralized
In 1997, this IBM supercomputer defeated world chess champion Garry Kasparov in a six-game match.
Difficulty: Easy- Watson
- HAL 9000
- Deep Blue
- ENIAC
This architecture breakthrough from 2017 enabled modern large language models by using attention mechanisms to process sequences in parallel.
Difficulty: Medium- Recurrent Neural Networks
- Convolutional Neural Networks
- Transformer Architecture
- Long Short-Term Memory
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