Все публикации

0:06:38

Graph Language Models EXPLAINED in 5 Minutes! [Author explanation 🔴 at ACL 2024]

0:09:24

How OpenAI made o1 'think' – Here is what we think and already know about o1 reinforcement learning

0:04:08

I am a Strange Dataset: Metalinguistic Tests for Language Models – Paper Explained [🔴 at ACL 2024]

0:28:47

Transformer LLMs are Turing Complete after all !?

0:11:05

Mission: Impossible language models – Paper Explained [ACL 2024 recording]

0:11:22

Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution – Paper Explained

0:37:18

My PhD Journey in AI / ML (while doing YouTube on the side)

0:08:48

[Own work] On Measuring Faithfulness or Self-consistency of Natural Language Explanations

0:11:08

Supercharging RAG with Generative Feedback Loops from Weaviate

0:11:38

GaLore EXPLAINED: Memory-Efficient LLM Training by Gradient Low-Rank Projection

0:09:59

Shapley Values Explained | Interpretability for AI models, even LLMs!

0:18:49

Stealing Part of a Production LLM | API protects LLMs no more

0:09:22

Genie explained 🧞 Generative Interactive Environments paper explained

0:22:27

MAMBA and State Space Models explained | SSM explained

0:13:17

Sparse LLMs at inference: 6x faster transformers! | DEJAVU paper explained

0:19:48

Transformers explained | The architecture behind LLMs

0:08:55

Direct Preference Optimization: Your Language Model is Secretly a Reward Model | DPO paper explained

0:11:36

LLM hallucinations discover new math solutions!? | FunSearch explained

0:08:03

DALL-E 3 is better at following Text Prompts! Here is why. — DALL-E 3 explained

0:13:06

Adversarial Attacks and Defenses. The Dimpled Manifold Hypothesis. David Stutz from DeepMind #HLF23

0:08:22

What is LoRA? Low-Rank Adaptation for finetuning LLMs EXPLAINED

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. 😅