Xifeng Yan Adaptive Inference In Transformers

June 4, 2026
Media Summary: I made this video to illustrate the difference between how a Demystifying attention, the key mechanism inside A complete explanation of all the layers of a

Xifeng Yan Adaptive Inference In Transformers - Detailed Analysis & Overview

I made this video to illustrate the difference between how a Demystifying attention, the key mechanism inside A complete explanation of all the layers of a Download the AI model guide to learn more → Learn more about the technology → Jacob Buckman, CEO of Manifest AI, joins us to discuss their solution to one of AI's most expensive computational bottlenecks: the ... You know there's this uh this paradox at the absolute heart of AI right now we have these

Contextual sparsity: Take an LLM and make it sparse at Building a Self-Adjudicating Memory Network for RAG. MemGraphRAG: Giving LLMs a Collaborative, Three-Layer Long-Term ... Breaking down how Large Language Models work, visualizing how data flows through. Instead of sponsored ad reads, these ... May 27, 2025 Sayak Paul of Hugging Face Diffusion models have been all the rage in recent times when it comes to generating ...

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Xifeng Yan - "Adaptive Inference in Transformers"
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Transformers as Intrinsic Optimizers: Forward Inference through the Energy Principle
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[short] Tandem Transformers for Inference Efficient LLMs
MemoryGraphRAG (Outperforms Every RAG)

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Xifeng Yan - "Adaptive Inference in Transformers"

Xifeng Yan - "Adaptive Inference in Transformers"

Speaker Biography

How a Transformer works at inference vs training time

How a Transformer works at inference vs training time

I made this video to illustrate the difference between how a

What are Transformers (Machine Learning Model)?

What are Transformers (Machine Learning Model)?

Learn more about

Transformer Inference | How Inference is done in Transformer? | Deep Learning | CampusX

Transformer Inference | How Inference is done in Transformer? | Deep Learning | CampusX

Inference in transformers

Attention in transformers, step-by-step | Deep Learning Chapter 6

Attention in transformers, step-by-step | Deep Learning Chapter 6

Demystifying attention, the key mechanism inside

Attention is all you need (Transformer) - Model explanation (including math), Inference and Training

Attention is all you need (Transformer) - Model explanation (including math), Inference and Training

A complete explanation of all the layers of a

AI Inference: The Secret to AI's Superpowers

AI Inference: The Secret to AI's Superpowers

Download the AI model guide to learn more → https://ibm.biz/BdaJTb Learn more about the technology → https://ibm.biz/BdaJTp ...

⚡️ Beyond Transformers with Power Retention

⚡️ Beyond Transformers with Power Retention

Jacob Buckman, CEO of Manifest AI, joins us to discuss their solution to one of AI's most expensive computational bottlenecks: the ...

Transformers as Intrinsic Optimizers: Forward Inference through the Energy Principle

Transformers as Intrinsic Optimizers: Forward Inference through the Energy Principle

You know there's this uh this paradox at the absolute heart of AI right now we have these

Sparse LLMs at inference: 6x faster transformers! | DEJAVU paper explained

Sparse LLMs at inference: 6x faster transformers! | DEJAVU paper explained

Contextual sparsity: Take an LLM and make it sparse at

[short] Tandem Transformers for Inference Efficient LLMs

[short] Tandem Transformers for Inference Efficient LLMs

Tandem

MemoryGraphRAG (Outperforms Every RAG)

MemoryGraphRAG (Outperforms Every RAG)

Building a Self-Adjudicating Memory Network for RAG. MemGraphRAG: Giving LLMs a Collaborative, Three-Layer Long-Term ...

Tandem Transformers for Inference Efficient LLMs

Tandem Transformers for Inference Efficient LLMs

Tandem

MatFormer: Nested Transformer for Elastic Inference

MatFormer: Nested Transformer for Elastic Inference

MatFormer is a nested

Transformers, the tech behind LLMs | Deep Learning Chapter 5

Transformers, the tech behind LLMs | Deep Learning Chapter 5

Breaking down how Large Language Models work, visualizing how data flows through. Instead of sponsored ad reads, these ...

Hands-On Workshop on Training and Using Transformers 5 -- Model Inference and Deployment

Hands-On Workshop on Training and Using Transformers 5 -- Model Inference and Deployment

Hands-On Workshop on Training and Using

2024 606 BOLT Privacy Preserving, Accurate and Efficient Inference for Transformers Qi Pang

2024 606 BOLT Privacy Preserving, Accurate and Efficient Inference for Transformers Qi Pang

...

Stanford CS25: V5 I Transformers in Diffusion Models for Image Generation and Beyond

Stanford CS25: V5 I Transformers in Diffusion Models for Image Generation and Beyond

May 27, 2025 Sayak Paul of Hugging Face Diffusion models have been all the rage in recent times when it comes to generating ...

W10L46: Transformers: Training and Inference

W10L46: Transformers: Training and Inference

W10L46:

The Transformer architecture

The Transformer architecture

A general high-level introduction to the