<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Vlm on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/vlm/</link><description>Recent content in Vlm on English AI Terms Dictionary</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 18 Jul 2026 11:44:44 +0000</lastBuildDate><atom:link href="https://terms-en.ai-term-hub.com/en/tags/vlm/index.xml" rel="self" type="application/rss+xml"/><item><title>DeepSeek VL V2</title><link>https://terms-en.ai-term-hub.com/en/terms/deepseek_vl_v2/</link><pubDate>Sat, 18 Jul 2026 09:55:14 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/deepseek_vl_v2/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>DeepSeek VL V2 extends the capabilities of the standard language model into the multimodal domain, allowing it to interpret images alongside text. Utilizing a vision encoder connected to a large language model backbone, it can perform tasks such as visual question answering, image captioning, and document understanding. The &amp;lsquo;V2&amp;rsquo; designation suggests improvements in resolution handling, spatial reasoning, and the ability to parse complex layouts in charts or diagrams. This model is particularly useful for applications requiring detailed visual analysis combined with sophisticated linguistic reasoning.&lt;/p></description></item></channel></rss>