AI Models Are Learning to Prioritize Their Thoughts—And It’s Wildly Effective

22 Feb 2025

A smarter way to allocate computing resources in AI transformers is making them faster and more efficient.

What If AI Could Skip the Boring Parts? Google Researchers Just Made It Happen

22 Feb 2025

A smarter way to allocate computing resources in AI transformers is making them faster and more efficient.

This Clever AI Hack Could Cut Processing Costs in Half

22 Feb 2025

A smarter way to allocate computing resources in AI transformers is making them faster and more efficient.

New AI Method Lets Models Decide What to Think About

22 Feb 2025

A smarter way to allocate computing resources in AI transformers is making them faster and more efficient.

Google Researchers Develop New AI Tech That Doesn't Waste Brainpower on Useless Words

22 Feb 2025

A smarter way to allocate computing resources in AI transformers is making them faster and more efficient.

PagedAttention and vLLM Explained: What Are They?

4 Jan 2025

This paper proposes PagedAttention, a new attention algorithm that allows attention keys and values to be stored in non-contiguous paged memory

General Model Serving Systems and Memory Optimizations Explained

4 Jan 2025

Model serving has been an active area of research in recent years, with numerous systems proposed to tackle diverse aspects of deep learning model deployment.

Applying the Virtual Memory and Paging Technique: A Discussion

4 Jan 2025

The idea of virtual memory and paging is effective for managing the KV cache in LLM serving because the workload requires dynamic memory allocation

Evaluating vLLM's Design Choices With Ablation Experiments

4 Jan 2025

In this section, we study various aspects of vLLM and evaluate the design choices we make with ablation experiments.