EvoClass
AI012
Deep Dive into Large Language Models
Advanced Reasoning, Knowledge Editing, and Mathematical Logic
Learning Objectives
- Analyze and Compare CoT Variants: Differentiate between Self-Consistency, Program of Thought (PoT), Tree-of-Thought (ToT), and Graph-of-Thought (GoT) architectures.
- Evaluate Knowledge Editing Techniques: Understand the metrics of Reliability, Locality, and Portability, and distinguish between internal (ROME) and external (SERAC) editing solutions.
- Assess Mathematical Logic Pipelines: Identify the training data (GSM8K, MATH, AIME) and distillation processes used to enhance long-form mathematical reasoning in models like DeepSeek-Math and o1.