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531,417 results
stanford cs224n
andrej karpathy transformers
transformer architecture
3blue1brown transformer
cs25
positional encoding in transformers
attention is all you need
attention is all you need paper explained
vision transformer
transformer attention
April 4, 2024 Steven Feng, Stanford University [https://styfeng.github.io/] Div Garg, Stanford University [https://divyanshgarg.com/] ...
47,549 views
2 months ago
Since their introduction in 2017, transformers have revolutionized Natural Language Processing (NLP). Now, transformers are ...
629,981 views
1 year ago
Transformer Neural Networks are the heart of pretty much everything exciting in AI right now. ChatGPT, Google Translate and ...
603,414 views
11 months ago
This lecture covers: 1. From recurrence (RNN) to attention-based NLP models 2. The Transformer model 3. Great results with ...
46,197 views
9 months ago
We introduce a framework that abstracts Reinforcement Learning (RL) as a sequence modeling problem. This allows us to draw ...
36,923 views
Professor Christopher Manning Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer ...
144,258 views
5 years ago
2,660,029 views
Learn how to use vector search and embeddings to easily combine your data with large language models like GPT-4. You will first ...
175,739 views
6 months ago
125,590 views
Over the past five years, Transformers, a neural network architecture, have completely transformed state-of-the-art natural ...
894,419 views
2 years ago
Transformers? In this case, we're talking about a machine learning model, and in this video Martin Keen explains what ...
362,676 views
transformers #chatgpt #SoME3 #deeplearning Join me on a deep dive to understand the most successful neural network ever ...
125,882 views
10 months ago
Lecture by Professor Brad Osgood for the Electrical Engineering course, The Fourier Transforms and its Applications (EE 261).
1,297,187 views
15 years ago
Vision Transformer (ViT) is the new state-of-the-art for image classification. ViT was posted on arXiv in Oct 2020 and officially ...
113,314 views
3 years ago
To follow along with the course, visit the course website: https://web.stanford.edu/class/ee364a/ Stephen Boyd Professor of ...
29,598 views
3 months ago
Let's talk about transformers from scratch. CODE: https://github.com/ajhalthor/Transformer-Neural-Network 0:00 Thank you for ...
39,207 views
This is the last of a series of 3 videos where we demystify Transformer models and explain them with visuals and friendly ...
102,017 views
7 months ago
And yes, at 22:00 (and elsewhere), "breaks" is a typo. ------------------ Here are a few other relevant resources Build a GPT from ...
1,229,112 views
In deep learning, models typically reuse the same parameters for all inputs. Mixture of Experts (MoE) defies this and instead ...
27,693 views
378,000 views
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8,700 views
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"Neural network parameters can be thought of as compiled computer programs. Somehow, they encode sophisticated algorithms, ...
14,823 views
April 11, 2024 Speakers: Jason Wei & Hyung Won Chung, OpenAI Intuitions on Language Models (Jason) Jason will talk about ...
149,495 views
1 month ago
Transformers are the rage nowadays, but how do they work? This video demystifies the novel neural network architecture with ...
924,773 views
4 years ago
Transformers have touched many fields of research and audio and music is no different. This talk will present 3 of my papers as a ...
10,175 views
In this talk, Lucas discusses some of the ways transformers have been applied to problems in Computer Vision. Lucas Beyer grew ...
47,171 views
We can't quite leverage GPUs as well in the context of recurrent neural networks now if we consider transformer networks we're ...
339,741 views
This lecture covers: 1. Impact of Transformers on NLP (and ML more broadly) 2. From Recurrence (RNNs) to Attention-Based NLP ...
71,600 views
April 11, 2024 Speaker: Hyung Won Chung, OpenAI Shaping the Future of AI from the History of Transformer AI is developing at ...
85,668 views
2 weeks ago
February 7, 2023 Robotics and Imitation Learning Ted Xiao In this speaker series, we examine the details of how transformers ...
10,341 views