Overview
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This course examines GPT-4 and recent language models through reported capabilities such as multimodal input, exam performance, programming, and planning, alongside hallucinations, risks, bias, and privacy. It draws on the GPT-4 Technical Report and the “Sparks of AGI” paper to discuss whether these systems show signs of AGI.
Syllabus
- Introduction
- Multi-Modal/imagery input
- Predictable scaling
- Performance on exams
- Rule-Based Reward Models RBRMs
- Spatial Awareness of non-vision GPT-4
- Non-multimodel vision ability
- Programming
- Theory of Mind
- Music and Math
- Challenges w/ Planning
- Hallucinations
- Risks
- Biases
- Privacy
- Generative Models used in Training/Evals
- Acceleration
- AGI
Taught by
sentdex