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AIM - Module 8.8 : Mathematical Reasoning and Tool Calling - Notebook 2 Walkthrough
AIM - Module 8.6 : The Full Pipeline in Practice
AIM - Module 8.7 : Mathematical Reasoning and Tool Calling - Notebook Walkthrough
AIM - Module 8.3 : Supervised Fine tuning
How LLMs Are Actually Trained: Pre-Training vs. Post-Training Explained (with Julien Launay)
AIM - Module 7.8 : Diffusion Models
Implementing RL Algorithms for LLMs | Post-Training Course, Lecture 4
Scaling LLM Post-Training at Character.AI | Ray Summit 2025
Introduction to LLM Post Training by Maxime Labonne, PhD
EfficientML.ai Lecture 14 - LLM Post-Training (MIT 6.5940, Fall 2024, Zoom Recording)
Attention in transformers, step-by-step | Deep Learning Chapter 6
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Last Updated: August 16, 2026
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