Categories: AI/ML Research

Effective KV Compression with TurboQuant

TurboQuant has recently been launched by Google as a novel algorithmic suite and library for applying advanced quantization and compression to large language models (LLMs) and vector search engines — an indispensable element of RAG systems.
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Recent Posts

AI Teammates: how monday.com runs production AI agents on Amazon Bedrock

AI Teammates are agentic AI on Amazon Bedrock, and few engineering organizations run them in…

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Why Lettuce Is Always Making People Sick

The cyclospora diarrhea outbreak isn’t an isolated incident. It’s part of a pattern of leafy…

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MIT’s new lidar chip could give self-driving cars a wider view

MIT engineers have found a way to give chip-based lidar a wider, clearer view without…

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AI chatbots can be as effective as humans at emotional support—sometimes better

New research led by The University of Manchester in collaboration with Durham University has found…

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The Current State of Agentic AI

In this article, you will learn how agentic AI architecture has evolved by mid-2026, including…

1 day ago

Environment-free Synthetic Data Generation for API-Calling Agents

Training API-calling large language model (LLM) agents demands massive amounts of high-quality trajectories. However, collecting…

1 day ago