<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Openai on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/openai/</link><description>Recent content in Openai 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/openai/index.xml" rel="self" type="application/rss+xml"/><item><title>Whisper</title><link>https://terms-en.ai-term-hub.com/en/terms/whisper/</link><pubDate>Sat, 18 Jul 2026 10:20:04 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/whisper/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Whisper is a general-purpose speech recognition model designed to handle various languages, dialects, and accents. It is trained on hundreds of thousands of hours of multilingual and multitask supervised data collected from the web. The model excels at robustness against noise and background sounds, making it suitable for real-world applications. It supports transcription, translation, and voice activity detection, providing high accuracy across different audio contexts without requiring extensive fine-tuning for specific domains.&lt;/p></description></item><item><title>Gpt2</title><link>https://terms-en.ai-term-hub.com/en/terms/gpt2/</link><pubDate>Sat, 18 Jul 2026 10:00:16 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/gpt2/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Generative Pre-trained Transformer 2 (GPT-2) is an autoregressive language model that uses the transformer architecture to generate human-like text. It was trained on a massive dataset of internet text to predict the next token in a sequence. GPT-2 demonstrated significant improvements in coherence and factual knowledge over its predecessor, becoming a foundational model for few-shot learning and natural language processing tasks, though it raised early concerns about synthetic media capabilities.&lt;/p></description></item></channel></rss>