Big Bird: Transformers for Longer Sequences (Paper Explained)

Big Bird: Transformers for Longer Sequences (Paper Explained)
Share:

Download MP3


Similar Tracks

Synthesizer: Rethinking Self-Attention in Transformer Models (Paper Explained) Yannic Kilcher
Hopfield Networks is All You Need (Paper Explained) Yannic Kilcher
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (Paper Explained) Yannic Kilcher
Data Analytics for Beginners | Data Analytics Training | Data Analytics Course | Intellipaat Intellipaat
Visualizing transformers and attention | Talk for TNG Big Tech Day '24 Grant Sanderson
Longformer: The Long-Document Transformer Yannic Kilcher
Language Models are Open Knowledge Graphs (Paper Explained) Yannic Kilcher
Attention in transformers, visually explained | DL6 3Blue1Brown
Feedback Transformers: Addressing Some Limitations of Transformers with Feedback Memory (Explained) Yannic Kilcher
Transformers (how LLMs work) explained visually | DL5 3Blue1Brown
11. Introduction to Machine Learning MIT OpenCourseWare
LambdaNetworks: Modeling long-range Interactions without Attention (Paper Explained) Yannic Kilcher
LSTM is dead. Long Live Transformers! Seattle Applied Deep Learning
Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention Yannic Kilcher
Russell's Paradox - a simple explanation of a profound problem Jeffrey Kaplan
FlashAttention - Tri Dao | Stanford MLSys #67 Stanford MLSys Seminars
Rethinking Attention with Performers (Paper Explained) Yannic Kilcher
The Narrated Transformer Language Model Jay Alammar
Stanford CS229 I Machine Learning I Building Large Language Models (LLMs) Stanford Online
Why Does Diffusion Work Better than Auto-Regression? Algorithmic Simplicity