<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Platform on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/platform/</link><description>Recent content in Platform 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/platform/index.xml" rel="self" type="application/rss+xml"/><item><title>Perusall</title><link>https://terms-en.ai-term-hub.com/en/terms/perusall/</link><pubDate>Sat, 18 Jul 2026 10:10:45 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/perusall/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Perusall is an educational technology platform that leverages artificial intelligence to facilitate collaborative reading and annotation. It automatically grades students&amp;rsquo; participation based on the quality and quantity of their annotations and comments on assigned readings. By integrating social learning principles with NLP, it encourages active engagement with course materials, providing instructors with insights into student comprehension and fostering a community of learners through peer interaction.&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;p>An AI-powered social learning platform that automates grading of student annotations and discussions on digital texts.&lt;/p></description></item><item><title>Hugging Face</title><link>https://terms-en.ai-term-hub.com/en/terms/hugging_face/</link><pubDate>Sat, 18 Jul 2026 10:01:25 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/hugging_face/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Hugging Face is a prominent company and online platform that has become central to the open-source AI ecosystem. It offers a vast repository of pre-trained models, datasets, and demonstration applications (Spaces). The platform provides libraries like Transformers and Diffusers, which simplify the integration of state-of-the-art natural language processing and computer vision models into applications. It fosters collaboration among researchers and developers by hosting a community-driven hub for sharing and discovering AI assets, significantly lowering the barrier to entry for building advanced AI solutions.&lt;/p></description></item><item><title>Hf Asr Leaderboard</title><link>https://terms-en.ai-term-hub.com/en/terms/hf_asr_leaderboard/</link><pubDate>Sat, 18 Jul 2026 10:00:57 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/hf_asr_leaderboard/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>The HF ASR Leaderboard is a community-driven metric platform hosted by Hugging Face, tracking state-of-the-art performance in Automatic Speech Recognition. It allows researchers and developers to benchmark models against standard datasets like Common Voice or LibriSpeech. By providing transparent evaluation metrics such as Word Error Rate (WER), it facilitates progress tracking and encourages the sharing of high-quality pre-trained models within the open-source AI ecosystem.&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;p>A ranking system on Hugging Face that evaluates and compares the performance of Automatic Speech Recognition models.&lt;/p></description></item><item><title>H2O</title><link>https://terms-en.ai-term-hub.com/en/terms/h2o/</link><pubDate>Sat, 18 Jul 2026 10:00:43 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/h2o/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>H2O is a widely used open-source in-memory platform for distributed, scalable machine learning and predictive analytics. Originally developed by two Harvard PhD students, it provides a unified framework for building models ranging from traditional statistical methods to deep neural networks. Key features include H2O-3 for general ML, H2O Deep Water for deep learning, and H2O Driverless AI for automated machine learning (AutoML). It supports integration with big data tools like Spark and Hadoop, making it suitable for enterprise-scale data science workflows requiring high performance and ease of deployment.&lt;/p></description></item></channel></rss>