Gabriel Mongaras

2:13:01

Intro to Attention and Its Forms
Gabriel Mongaras
2.4K views
35:18

Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold Explained
Gabriel Mongaras
600 views
59:24

Titans: Learning to Memorize at Test Time
Gabriel Mongaras
2.9K views
1:01

Gabriel Mongaras RR VP
Jenna Leifeste
27 views
29:34

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
Gabriel Mongaras
1.7K views
37:09

KAN: Kolmogorov-Arnold Networks
Gabriel Mongaras
57K views
43:59

From Sparse to Soft Mixtures of Experts Explained
Gabriel Mongaras
3.5K views
36:25

Direct Preference Optimization (DPO): Your Language Model is Secretly a Reward Model Explained
Gabriel Mongaras
18K views
40:14

Mixture-of-Depths: Dynamically allocating compute in transformer-based language models
Gabriel Mongaras
2.3K views
1:02:30

Stable Diffusion 3: Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Gabriel Mongaras
7.3K views
2:21:07

Coding Stable Diffusion 3 (Imagenet 2012)
Gabriel Mongaras
1.2K views
33:54

WizardLM: Empowering Large Language Models to Follow Complex Instructions Explained
Gabriel Mongaras
1.1K views
46:25

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits and BitNet
Gabriel Mongaras
6.2K views
1:21:39

DeepSeek-V3
Gabriel Mongaras
24K views
33:55

A Decoder-only Foundation Model For Time-series Forecasting
Gabriel Mongaras
5.8K views
45:05

Byte Latent Transformer: Patches Scale Better Than Tokens
Gabriel Mongaras
2.8K views
4:54

Q* AGI Achieved (Apr Fools)
Gabriel Mongaras
816 views
50:14

2x Faster Language Model Pre-training via Masked Structural Growth
Gabriel Mongaras
492 views
35:57

ReLoRA: Stack More Layers Differently: High-Rank Training Through Low-Rank Updates Explained
Gabriel Mongaras
912 views
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