A Friendly Introduction to Generative Adversarial Networks (GANs)

State Space Models (SSMs) and Mamba

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

KL Divergence - How to tell how different two distributions are

Josh Starmer and Luis Serrano livestream 2 - Double BAM!

Why do we divide by n-1 to estimate the variance? A visual tour through Bessel correction

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

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

The Attention Mechanism for Large Language Models #AI #llm #attention

Stable Diffusion - How to build amazing images with AI

How Large Language Models are Shaping the Future

What are Transformer Models and how do they work?

The math behind Attention: Keys, Queries, and Values matrices

The Attention Mechanism in Large Language Models

The Binomial and Poisson Distributions

Euler's number, derivatives, and the bank at the end of the universe

Decision trees - A friendly introduction

Thank you for 100K subscribers! I’m planning tons of new content coming soon, so excited!

How do you minimize a function when you can't take derivatives? CMA-ES and PSO

What is Quantum Machine Learning?

Denoising and Variational Autoencoders

Eigenvectors and Generalized Eigenspaces

Thompson sampling, one armed bandits, and the Beta distribution

The Beta distribution in 12 minutes!

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