Advanced LLM Post-Training: SFT, DPO, Reinforcement Learning w/ Maxime Labonne (Liquid AI)

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Introduction to LLM Post Training by Maxime Labonne, PhD Introduction to LLM Post Training by Maxime Labonne, PhD
Everything you need to know about Fine-tuning and Merging LLMs: Maxime Labonne Everything you need to know about Fine-tuning and Merging LLMs: Maxime Labonne
Aligning LLMs: Preference Tuning. RLHF, Reward modeling, Reinforcement learning PPO and DPO. Aligning LLMs: Preference Tuning. RLHF, Reward modeling, Reinforcement learning PPO and DPO.
Direct Preference Optimization (DPO) - How to fine-tune LLMs directly without reinforcement learning Direct Preference Optimization (DPO) - How to fine-tune LLMs directly without reinforcement learning
Fine-tuning LLMs on Human Feedback (RLHF + DPO) Fine-tuning LLMs on Human Feedback (RLHF + DPO)
RFT, DPO, SFT: Fine-tuning with OpenAI — Ilan Bigio, OpenAI RFT, DPO, SFT: Fine-tuning with OpenAI — Ilan Bigio, OpenAI
LLM Alignment (RLHF, DPO, ORPO) + Hands-on Project LLM Alignment (RLHF, DPO, ORPO) + Hands-on Project
How LLMs Are Actually Trained: Pre-Training vs. Post-Training Explained (with Julien Launay) How LLMs Are Actually Trained: Pre-Training vs. Post-Training Explained (with Julien Launay)