B9145: Topics in Trustworthy AI
Course Schedule
| Date | Topics | Lecture Notes | Readings |
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Jan 30 | Course Overview | Part 1: Course Overview,
Part 2: Data-centric View of AI | CLIP |
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Feb 6 | Language for Distribution Shifts | Slides, DRO | DISDE |
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Feb 13 | Domain Adaptation | Underspecification, Tatsu Hashimoto's slides | A theory of learning from different domains |
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Feb 20 | Invariance | Invariance, IRM, Domain Generalization | In Search of Lost Domain Generalization |
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Feb 27 | LLM pre-training, SFT, RLHF | Overview, Finetuning, RLHF | GPT3 |
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Mar 6 | LLM reasoning, inference-time operations | Slides | |
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Mar 27 | Pre-training data and scaling laws | Pre-training Data, Scaling Laws | Chinchilla |
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April 3 | Uncertainty quantification | Slides | List of references |
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Email the instructor if you want access to lecture recordings.
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