The Minimalist’s Guide to Speech-to-Text: Big Wins with Little Data

4 Apr 2025

Efficient and effective: A text-based LLM outperforms traditional methods in speech-to-text retrieval and translation tasks.

Why Our Tiny Training Set Beat Giants in Cross-Lingual Speech Retrieval

4 Apr 2025

LLMs take the lead in speech-text retrieval, outperforming larger models with smarter training and cross-lingual adaptability.

102 Languages, One Model: The Multimodal AI Breakthrough You Need to Know

4 Apr 2025

A multi-modal retrieval system using LLMs matches speech and text across 102 languages, outperforming prior methods with multilingual understanding.

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