Flash Attention

  Рет қаралды 4,822

Data Science Gems

Data Science Gems

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Пікірлер: 9
Flash Attention 2: Faster Attention with Better Parallelism and Work Partitioning
19:02
Flash Attention 2: Faster Attention with Better Parallelism and Work Partitioning
Data Science Gems
Рет қаралды 2,1 М.
How a Transformer works at inference vs training time
49:53
How a Transformer works at inference vs training time
Niels Rogge
Рет қаралды 59 М.
99.9% IMPOSSIBLE
00:24
99.9% IMPOSSIBLE
STORROR
Рет қаралды 31 МЛН
Cheerleader Transformation That Left Everyone Speechless! #shorts
00:27
Cheerleader Transformation That Left Everyone Speechless! #shorts
Fabiosa Best Lifehacks
Рет қаралды 16 МЛН
Quilt Challenge, No Skills, Just Luck#Funnyfamily #Partygames #Funny
00:32
Quilt Challenge, No Skills, Just Luck#Funnyfamily #Partygames #Funny
Family Games Media
Рет қаралды 55 МЛН
Гениальное изобретение из обычного стаканчика!
00:31
Гениальное изобретение из обычного стаканчика!
Лютая физика | Олимпиадная физика
Рет қаралды 4,8 МЛН
Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention
37:17
Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention
Yannic Kilcher
Рет қаралды 56 М.
MedAI #54: FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness | Tri Dao
47:47
MedAI #54: FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness | Tri Dao
Stanford MedAI
Рет қаралды 14 М.
Visualizing transformers and attention | Talk for TNG Big Tech Day '24
57:45
Visualizing transformers and attention | Talk for TNG Big Tech Day '24
Grant Sanderson
Рет қаралды 298 М.
ALiBi - Train Short, Test Long: Attention with linear biases enables input length extrapolation
31:22
ALiBi - Train Short, Test Long: Attention with linear biases enables input length extrapolation
Yannic Kilcher
Рет қаралды 21 М.
Attention in transformers, visually explained | DL6
26:10
Attention in transformers, visually explained | DL6
3Blue1Brown
Рет қаралды 2 МЛН
FlashAttention - Tri Dao | Stanford MLSys #67
58:58
FlashAttention - Tri Dao | Stanford MLSys #67
Stanford MLSys Seminars
Рет қаралды 31 М.
Vision Transformer and its Applications
34:38
Vision Transformer and its Applications
Open Data Science
Рет қаралды 45 М.
Efficient Streaming Language Models with Attention Sinks (Paper Explained)
32:27
Efficient Streaming Language Models with Attention Sinks (Paper Explained)
Yannic Kilcher
Рет қаралды 36 М.
Transformers (how LLMs work) explained visually | DL5
27:14
Transformers (how LLMs work) explained visually | DL5
3Blue1Brown
Рет қаралды 4,2 МЛН
RING Attention explained: 1 Mio Context Length
24:34
RING Attention explained: 1 Mio Context Length
Discover AI
Рет қаралды 3,7 М.
99.9% IMPOSSIBLE
00:24
99.9% IMPOSSIBLE
STORROR
Рет қаралды 31 МЛН