<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Social Media on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/social-media/</link><description>Recent content in Social Media 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/social-media/index.xml" rel="self" type="application/rss+xml"/><item><title>Facebook</title><link>https://terms-en.ai-term-hub.com/en/terms/facebook/</link><pubDate>Sat, 18 Jul 2026 09:57:52 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/facebook/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Facebook, now part of Meta Platforms Inc., is a leading force in artificial intelligence research and application. It hosts vast amounts of user-generated data used for training machine learning models in natural language processing, computer vision, and recommendation systems. The company actively contributes to the open-source AI community through projects like PyTorch and Hugging Face integrations, shaping modern deep learning practices and ethical AI standards globally.&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;p>A major social media platform and technology company that significantly influences AI development through its open-source research and large-scale data ecosystems.&lt;/p></description></item><item><title>Dataset:Eli5</title><link>https://terms-en.ai-term-hub.com/en/terms/dataseteli5/</link><pubDate>Sat, 18 Jul 2026 09:53:01 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/dataseteli5/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>ELI5 (Explain Like I&amp;rsquo;m Five) is a dataset derived from the Reddit community of the same name. It consists of questions submitted by users along with detailed, simplified answers provided by the community. This dataset is extensively used for training question-answering systems and models capable of generating long-form, explanatory text, emphasizing clarity and comprehensiveness in responses.&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;p>A large-scale dataset of questions and answers formatted as &amp;lsquo;Explain Like I&amp;rsquo;m Five&amp;rsquo;, focusing on detailed explanations.&lt;/p></description></item><item><title>Post</title><link>https://terms-en.ai-term-hub.com/en/terms/post/</link><pubDate>Sat, 18 Jul 2026 09:35:30 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/post/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>In digital communication and AI data contexts, a &amp;lsquo;post&amp;rsquo; refers to a discrete unit of content shared online. It serves as a primary source for training natural language processing models, sentiment analysis tools, and recommendation systems. Posts can include text, images, videos, and metadata like timestamps or user IDs. Analyzing posts allows AI to understand trends, detect misinformation, and engage in conversational tasks by interpreting human expression and intent.&lt;/p></description></item></channel></rss>