<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Multilingual on Noureddine RAMDI</title><link>https://ramdi.fr/tags/multilingual/</link><description>Recent content in Multilingual on Noureddine RAMDI</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 23 May 2026 20:41:27 +0000</lastBuildDate><atom:link href="https://ramdi.fr/tags/multilingual/index.xml" rel="self" type="application/rss+xml"/><item><title>Fun-ASR: Alibaba's multilingual speech recognition model with real-time capabilities</title><link>https://ramdi.fr/github-stars/fun-asr-alibaba-s-multilingual-speech-recognition-model-with-real-time-capabilities/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/fun-asr-alibaba-s-multilingual-speech-recognition-model-with-real-time-capabilities/</guid><description>Fun-ASR is Alibaba Tongyi Lab&amp;rsquo;s end-to-end speech recognition model with 800M parameters, supporting 31 languages and real-time transcription in noisy environments.</description></item><item><title>Mapping the generative AI landscape with the ai-collection curated directory</title><link>https://ramdi.fr/github-stars/mapping-the-generative-ai-landscape-with-the-ai-collection-curated-directory/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/mapping-the-generative-ai-landscape-with-the-ai-collection-curated-directory/</guid><description>Explore ai-collection, a comprehensive curated directory mapping 30+ categories of generative AI tools. Understand its structure, strengths, and how it helps navigate a fragmented AI market.</description></item><item><title>Structured prompt engineering with awesome-gpt-image-2: a curated GPT Image 2 prompt library in TypeScript</title><link>https://ramdi.fr/github-stars/structured-prompt-engineering-with-awesome-gpt-image-2-a-curated-gpt-image-2-prompt-library-in-typescript/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/structured-prompt-engineering-with-awesome-gpt-image-2-a-curated-gpt-image-2-prompt-library-in-typescript/</guid><description>A TypeScript library of 4,000+ curated GPT Image 2 prompts in JSON with dynamic Raycast Snippet arguments, multilingual support, and a companion web gallery for easy browsing.</description></item></channel></rss>