Все публикации

0:11:53

Are ChatBots their own death? | Training on Generated Data Makes Models Forget – Paper explained

0:14:37

The first law on AI regulation | The EU AI Act

0:00:05

Say that 3 times in a row. 😅

0:50:36

Author Interviews, Poster Highlights, Summary of the ACL 2023 Toronto NLP

0:04:46

ChatGPT ist not an intelligent agent. It is a cultural technology. – Gopnik Keynote

0:00:39

Do LLMs understand? Jay Alammar's TLDR of Geoffrey Hinton ACL2023 Keynote

0:06:55

[Own work] MM-SHAP to measure modality contributions

0:14:46

Eight Things to Know about Large Language Models

0:00:15

Speaking about AI is hard, even for humans | AI Coffee Break Bloopers

0:14:50

Moral Self-Correction in Large Language Models | paper explained

0:16:39

AI beats us at another game: STRATEGO | DeepNash paper explained

0:11:35

Why ChatGPT fails | Language Model Limitations EXPLAINED

0:16:05

'Watermarking Language Models' paper and GPTZero EXPLAINED | How to detect text by ChatGPT?

0:12:56

Training learned optimizers: VeLO paper EXPLAINED

0:16:23

ChatGPT vs Sparrow - Battle of Chatbots

0:10:12

Paella: Text to image FASTER than diffusion models | Paella paper explained

0:13:28

Generate long form video with Transformers | Phenaki from Google Brain explained

0:14:38

Movie Diffusion explained | Make-a-Video from MetaAI and Imagen Video from Google Brain

0:13:16

Beyond neural scaling laws – Paper Explained

0:13:16

How does Stable Diffusion work? – Latent Diffusion Models EXPLAINED

0:17:39

Machine Translation for a 1000 languages – Paper explained

0:09:11

DALLE-2 has a secret language!? | Theories and explanations

0:15:04

Imagen, the DALL-E 2 competitor from Google Brain, explained 🧠| Diffusion models illustrated

0:37:20

A New Physics-Inspired Theory of Deep Learning | Optimal initialization of Neural Nets