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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
Part of course·Lecture 8 of 18
CS50: Introduction to Computer Science
About the lecturer
Gordon McKay Professor of the Practice of Computer Science at Harvard University
Gordon McKay Professor of the Practice of Computer Science at Harvard University and lead instructor of CS50.
2 courses · 28 lectures in archiveView profile
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