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14,756,949 results
34.1K subscribers
Flow matching is a more general method than diffusion and serves as the basis for models like Stable Diffusion 3. Paper: ...
95,790 views
1 year ago
In this video, we break down Meta AI's DINOv3, the latest advancement in computer vision foundation models. Much like large ...
14,986 views
4 months ago
Support the channel ❤️ https://www.youtube.com/channel/UCkzW5JSFwvKRjXABI-UTAkQ/join Paper: ...
17,814 views
4 years ago
Publish Fast *Guaranteed*: Apply to work 1:1 with Prof Stuckler: https://www.stucklerconsulting.com/consultation/?el=yt1 Get ...
632,837 views
In this video, we break down the paper Less is More: Recursive Reasoning with Tiny Networks, which introduces the Tiny ...
8,449 views
3 months ago
System Design for SDE-2 and above: https://arpitbhayani.me/masterclass System Design for Beginners: ...
83,058 views
Paper Explained: Emerging Properties in Self-Supervised Vision Transformers The DINO paper(s) were a breakthrough in ...
13,480 views
2 years ago
Discover six key principles to transform your thinking and sharpen your mind by thinking on paper. In this video, you'll learn why ...
251,644 views
2 weeks ago
In this episode of Practical AI, Jeff and Peter Lin dive into the fascinating world of Tiny Recursive Models (TRM) and their potential ...
224 views
Thank you, Bonnie Bees, for making this video possible: https://www.patreon.com/cgpgrey ## Related Videos Powers of Ten: ...
9,259,530 views
Flow matching is a new generative modeling method that combines the advantages of Continuous Normalising Flows (CNFs) and ...
54,706 views
This is a hard paper! Energy-functions are typically a mere afterthought in current machine learning. A core function of the Energy ...
38,204 views
5 years ago
Mamba is an exciting LLM architecture that, when used with Transformers, might introduce new capabilities we haven't seen ...
22,022 views
10 months ago
In this video, Prof. Carr (faculty member at the University of Minnesota, Department of Chemistry) is explaining the Algorithm of ...
2,509,759 views
9 years ago
In this video, Encord's Machine Learning Lead, Frederik Hvilshøj breaks down DINOv3 — Meta AI's third-generation ...
6,251 views
5 months ago
To try everything Brilliant has to offer—free—for a full 30 days, visit https://brilliant.org/bycloud/ . You'll also get 20% off an annual ...
55,290 views
In this Big Technology Podcast clip, Meta Chief AI Scientist Yann LeCun explains why bigger models and more data alone can't ...
443,373 views
8 months ago
ai #openai #technology Paper Title: Learning Transferable Visual Models From Natural Language Supervision CLIP trains on 400 ...
169,562 views
jepa #ai #machinelearning Yann LeCun's position paper on a path towards machine intelligence combines Self-Supervised ...
85,790 views
3 years ago
Paper: https://arxiv.org/abs/2508.21038 Abstract: Vector embeddings have been tasked with an ever-increasing set of retrieval ...
34,209 views
Get better at MATH with Brilliant at https://brilliant.org/TreforBazett to get started for free and to get 20% off an annual premium ...
53,327 views
7 months ago
Support the channel ❤️ https://www.youtube.com/channel/UCkzW5JSFwvKRjXABI-UTAkQ/join In this video we walk through the ...
12,098 views
mamba #s4 #ssm OUTLINE: 0:00 - Introduction 0:45 - Transformers vs RNNs vs S4 6:10 - What are state space models? 12:30 ...
168,920 views
The viral video explained. How can you see the object behind the paper. How does the mirror know it's there? Part 2 - with more ...
351,628 views
This is a paper breakdown video of the paper: Kolmogorov Arnold Networks, which brilliantly provides an alternative to standard ...
68,153 views
ai #research #attention Transformers have huge memory and compute requirements because they construct an Attention matrix, ...
58,583 views
In this video we go back to the extremely important Google paper which introduced the Mixture-of-Experts (MoE) layer with ...
11,627 views
Have you ever wondered why A4 is the way it is? Well Matt Parker has sorted it all out for you. Two A4's side by side make an A3.
525,987 views
12 years ago
![[Paper Analysis] On the Theoretical Limitations of Embedding-Based Retrieval (Warning: Rant)](/api/proxy/image?url=https%3A%2F%2Fi.ytimg.com%2Fvi%2FzKohTkN0Fyk%2Fsddefault.jpg)
