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Artificial Intelligence
Harvard's CS50 intro to AI: from rubber ducks and minimax to neural networks, LLMs, and prompt engineering.
Introduces the foundational concepts of artificial intelligence, covering tools like image generation, deep fakes, and text-based large language models. David J. Malan explains how CS50 integrates AI as a virtual teaching assistant through custom system prompts, and demonstrates core algorithmic concepts including decision trees, the minimax algorithm, reinforcement learning, and neural networks.
Referenced inHarvard CS50 OpenCourseWare · CS50 (Fall 2023)
Lecture Guide
- 1AI tools like text generators and image synthesis are advancing rapidly, making misinformation increasingly difficult to discern.
- 2Prompt engineering and system prompts can configure large language models to behave like supportive, Socratic teachers rather than answer-dispensing shortcuts.
- 3Games like tic-tac-toe can be solved deterministically using decision trees and the minimax algorithm to maximize or minimize scores.
- 4Reinforcement learning trains agents through trial and error by rewarding positive behaviors and penalizing negative ones.
Proofs, Examples & Demos
Assumed Background