<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Summary</title><link>https://www.communeify.com/en/tag/summary/</link><description>Communeify - Your Community Platform</description><generator>Hugo</generator><atom:link href="https://www.communeify.com/en/tag/summary/" rel="self" type="application/rss+xml"/><item><title>Breaking Free from Cloud Dependency: Liquid AI&amp;#39;s New Model Makes Meeting Summaries More Private and Real-time</title><link>https://www.communeify.com/en/blog/liquid-ai-lfm2-transcript-private-meeting-summaries/</link><guid isPermaLink="true">https://www.communeify.com/en/blog/liquid-ai-lfm2-transcript-private-meeting-summaries/</guid><pubDate>Thu, 08 Jan 2026 08:54:46 +0800</pubDate><description> Still worried about the risks of uploading sensitive meeting minutes to the cloud? Liquid AI, in collaboration with AMD, has launched LFM2-2.6B-Transcript, an ultra-lightweight AI model capable of running locally. It is not only incredibly fast but also fully protects privacy, and most importantly, it has extremely low hardware requirements, allowing even typical laptops to produce enterprise-grade meeting summaries. Let&amp;amp;rsquo;s see how this technology changes the way we process information.
Have you ever had this experience? Just finished a marathon meeting lasting an hour, exhausted, and still have to face the chore of organizing meeting minutes. There are many AI tools on the market that can help, but honestly, uploading recording files containing company secrets, client privacy, or even decision details to cloud servers always feels a bit uneasy. What if data leaks? What if the network lags?</description></item></channel></rss>