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making LLMs sparse at inference time
0:13:17
Sparse LLMs at inference: 6x faster transformers! | DEJAVU paper explained
0:06:53
Use Sparse Transfer Learning to Create Sparse Models Fine-Tuned to Your Datasets
1:00:45
Piotr Nawrot - The Sparse Frontier Sparse Attention Trade offs in Transformer LLMs
1:26:42
Kai Sheng Tai: Sparsity for Efficient LLM Inference
1:21:47
Sparsity for Efficient Long Sequence Generation of LLMs
0:19:44
A Visual Guide to Mixture of Experts (MoE) in LLMs
0:17:09
Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models
0:28:24
Sparse Mixture of Experts - The transformer behind the most efficient LLMs (DeepSeek, Mixtral)
0:08:25
Native Sparse Attention Boosts Speed by 6x: Long Text Processing with Large Language Models
0:05:08
Accelerate LLMs with SampleAttention: Faster Inference, Long Contexts, Zero Accuracy Loss
0:08:56
DeepSparse - Enabling GPU Level Inference on Your CPU
0:27:03
What is the Transformers’ Context Window in Deep Learning? (and how to make it LONG)
0:19:08
Ultra-Sparse Memory Network
0:13:20
Dense Sparse Retrieval: Using Sparse Language Models for Inference Efficient Dense Retri
1:11:54
LightOn AI Meetup: Sparsity for Efficient Long Sequence Generation of LLMs with Beidi Chen
0:53:35
Yuandong Tian | Efficient Inference of LLMs with Long Context Support
0:34:55
Accelerating LLM Inference: Medusa's Uglier Sisters (WITH CODE)
0:09:00
DeepSeek Native Sparse Attention : Improved Attention mechanism for LLMs
0:51:06
I trained my own Reasoning LLM using GRPO and Reinforcement Learning!
0:01:09
Sparse Attention in Machine Learning | E34
0:13:00
Sparse Priming Representation (SPR): 🧠 Giving AI Unlimited Memory! MemGPT 2.0! (AGI IS HERE?!)
0:07:38
Intro to DeepSparse Runtime
0:42:18
Pushing the Boundaries of LLMs: Sparse & Flash Attention, Quantisation, Pruning, Distillation, LORA
0:22:54
Mixture of Experts LLM - MoE explained in simple terms
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