progscrape: lilianweng.github.io

Scaling Laws, Carefully

15 days ago lilianweng.github.io

Why We Think

9 months ago lilianweng.github.io

A (Long) Peek into Reinforcement Learning

15 months ago lilianweng.github.io

Thinking about high-quality human data

2 years ago lilianweng.github.io

Attention? Attention

2 years ago lilianweng.github.io ai

LLM Powered Autonomous Agents

3 years ago lilianweng.github.io llm

Prompt Engineering: Steer a large pretrained language model to do what you want

3 years ago lilianweng.github.io ai

How to train large models on many GPUs? (2021)

3 years ago lilianweng.github.io

Large Transformer Model Inference Optimization

3 years ago lilianweng.github.io

The Transformer Family

3 years ago lilianweng.github.io

What are Diffusion Models?

3 years ago lilianweng.github.io

Contrastive Representation Learning

3 years ago lilianweng.github.io

Learning with Not Enough Data: Semi-Supervised Learning

4 years ago lilianweng.github.io

How to train large models on many GPUs?

4 years ago lilianweng.github.io

What Are Diffusion Models?

5 years ago lilianweng.github.io

Contrastive Representation Learning

5 years ago lilianweng.github.io

Are Deep Neural Networks Dramatically Overfitted?

5 years ago lilianweng.github.io

The Multi-Armed Bandit Problem and Its Solutions (2018)

7 years ago lilianweng.github.io

Generalized Language Models

7 years ago lilianweng.github.io

Flow based deep generative models

7 years ago lilianweng.github.io

A (Long) Peek into Reinforcement Learning

7 years ago lilianweng.github.io

From Autoencoder to Beta-VAE

7 years ago lilianweng.github.io

From GAN to WGAN

7 years ago lilianweng.github.io

The Multi-Armed Bandit Problem and Its Solutions

7 years ago lilianweng.github.io