Reinforcement Learning with Human Feedback - How to train and fine-tune Transformer Models

Direct Preference Optimization (DPO) - How to fine-tune LLMs directly without reinforcement learning

Proximal Policy Optimization (PPO) - How to train Large Language Models

What are Transformer Models and how do they work?

A friendly introduction to deep reinforcement learning, Q-networks and policy gradients

Reinforcement Learning from Human Feedback: From Zero to chatGPT

RLHF: How to Learn from Human Feedback with Reinforcement Learning

How large language models work, a visual intro to transformers | Chapter 5, Deep Learning

A friendly introduction to Bayes Theorem and Hidden Markov Models

Reinforcement Learning from Human Feedback (RLHF) Explained

Stable Diffusion - How to build amazing images with AI

The Attention Mechanism in Large Language Models

MIT 6.S191: Reinforcement Learning

Generative AI in a Nutshell - how to survive and thrive in the age of AI

Proximal Policy Optimization | ChatGPT uses this

Think Fast, Talk Smart: Communication Techniques

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

MIT 6.S091: Introduction to Deep Reinforcement Learning (Deep RL)

Fine-tuning Large Language Models (LLMs) | w/ Example Code

[1hr Talk] Intro to Large Language Models

State Space Models (SSMs) and Mamba