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Syllabus
Units
Schedule
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Unit 1: Introduction
Unit 2: Supervised Learning
Unit 3: ML Fundamentals
Unit 4: Neural Models
Unit 5: Embeddings
Unit 6: Generalization
Unit 7: Vision and Perspectives
376 Unit 1: Introduction to Generative Modeling
376 Unit 2: Language Modeling
376 Unit 3: Architectures
Neural Computation
376 Unit 4: Generation and Prompt Engineering
ML Systems
376 Unit 5: Multimodal Models and Diffusion
376 Unit 6: Miscellaneous Topics
Learning Machines
Context and Implications
Review
376 Unit 4: Generation and Prompt Engineering
Contents
376 Preparation 4
(draft!)
The content may not be revised for this year. If you really want to see it, click the link above.
Lab 376.4: Dialogue Agents, Prompt Engineering, Retrieval-Augmented Generation, and Tool Use
(draft!)
The content may not be revised for this year. If you really want to see it, click the link above.
Exercise 376.3: Course Advisor Bot
(draft!)
The content may not be revised for this year. If you really want to see it, click the link above.