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- Introduction
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Classroom Contents
Sparks of AGI - Analyzing GPT-4 and the Latest GPT-LLM Models
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- 1 - Introduction
- 2 - Multi-Modal/imagery input
- 3 - Predictable scaling
- 4 - Performance on exams
- 5 - Rule-Based Reward Models RBRMs
- 6 - Spatial Awareness of non-vision GPT-4
- 7 - Non-multimodel vision ability
- 8 - Programming
- 9 - Theory of Mind
- 10 - Music and Math
- 11 - Challenges w/ Planning
- 12 - Hallucinations
- 13 - Risks
- 14 - Biases
- 15 - Privacy
- 16 - Generative Models used in Training/Evals
- 17 - Acceleration
- 18 - AGI
