DIGITIMES

In-depth: Google TurboQuant cuts LLM memory 6x, resets AI inference cost curve

Google has introduced TurboQuant, a compression algorithm that reduces large language model (LLM) memory usage by at least 6x ...

Google’s TurboQuant AI-compression algorithm can reduce LLM memory usage by 6x

Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...
CNET on MSN

New Features Make NotebookLM More Flexible and Easier to Use

New Features Make NotebookLM More Flexible and Easier to Use ...
Nature

Major conference catches illicit AI use — and rejects hundreds of papers

A major artificial-intelligence conference has rejected 497 papers — roughly 2% of submissions — whose authors violated ...

Ollama adopts MLX for faster AI performance on Apple silicon Macs

This results in a large speedup of Ollama on all Apple Silicon devices. On Apple’s M5, M5 Pro and M5 Max chips, Ollama ...
Virtualization Review

Running AI on a Raspberry Pi, Part 1: Overview

This first article in a series explains the core AI concepts behind running LLM and RAG workloads on a Raspberry Pi, including why local AI is useful and what tradeoffs to expect.
WinBuzzer

Google’s TurboQuant Algorithm Slashes LLM Memory Use by 6x

Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...