MIT DCAI Lecture 7: Data Curation for LLMs
Students for Open and Universal Learning
MIT DCAI Lecture 7: Data Curation for LLMs
48:26
MIT DCAI Lecture 6: Data-centric Evaluation of ML Models
Students for Open and Universal Learning
MIT DCAI Lecture 6: Data-centric Evaluation of ML Models
54:00
MIT DCAI Lecture 5: Dataset Creation and Curation
Students for Open and Universal Learning
MIT DCAI Lecture 5: Dataset Creation and Curation
54:30
MIT DCAI Lecture 4: Class Imbalance, Outliers, and Distribution Shift
Students for Open and Universal Learning
MIT DCAI Lecture 4: Class Imbalance, Outliers, and Distribution Shift
50:29
MIT DCAI Lecture 3: Advanced Confident Learning, LLM and GenAI Applications
Students for Open and Universal Learning
MIT DCAI Lecture 3: Advanced Confident Learning, LLM and GenAI Applications
49:24
MIT DCAI Lecture 1: Data-Centric AI vs. Model-Centric AI
Students for Open and Universal Learning
MIT DCAI Lecture 1: Data-Centric AI vs. Model-Centric AI
47:43
MIT DCAI Lecture 2: Label Errors and Confident Learning
Students for Open and Universal Learning
MIT DCAI Lecture 2: Label Errors and Confident Learning
53:42