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| <h1>Seamless Integration of GNU operating system with Large Language Models: Enhancing Performance and Usability</h1> | |
| <blockquote><p>Author: Jean Louis <bugs at gnu.support>, XMPP: <a href="xmpp:[email protected]">[email protected]</a><br/> | |
| Last updated: Sun 23 Mar 2025 10:44:24 AM EAT</p></blockquote> | |
| <p>This Hugging Face Space focuses on integrating GNU-like operating | |
| systems with Large Language Models (LLMs). This development marks an | |
| important step forward for free software, as outlined in the <a href="https://www.gnu.org/philosophy/free-sw.html">GNU | |
| philosophy</a>, by enabling | |
| users to interact more efficiently and effectively.</p> | |
| <p>The primary goal of this brief project is to enhance how you interact | |
| with computers initially and subsequently improve interactions between | |
| people as a secondary objective.</p> | |
| <p>Utilize these empowerment tools to deepen mutual comprehension with | |
| others, strengthen both personal and professional connections, boost | |
| promotional efforts for better market reach, increase sales | |
| opportunities overall—ultimately aiding in the enhancement of various | |
| aspects of your life.</p> | |
| <h2>First Stage Goal: Enable Speech Interaction With Computer</h2> | |
| <p>🚀 In the first stage of our adventure together, we aim to enable | |
| speech interaction between you and your machine. Imagine effortlessly | |
| asking questions or giving commands just by speaking!</p> | |
| <p>We’ll explore tools like voice recognition software that will listen | |
| intently as if it’s hanging on every word (because let’s be honest, | |
| who doesn’t love a good listener?). By the end of this stage, you’ll | |
| feel empowered to chat away and make your computer truly understand | |
| what makes <em>you</em> tick. Let’s dive in together! 🎤💻✨</p> | |
| <h3>Install required software</h3> | |
| <p>Follow the guide <a href="01-prepare-python.html">Prepare Python environment to download Hugging Face models</a> for the first step.</p> | |
| <h4>Install NVIDIA Canary-1B-Flash fully free software Large Language Model (LLM) for speech recognition</h4> | |
| <p>The Canary-1B-Flash model is a cutting-edge multilingual multi-tasking | |
| model based on the Canary architecture, designed to achieve | |
| state-of-the-art performance in various speech benchmarks. It has 883 | |
| million parameters and delivers high inference speeds, exceeding 1000 | |
| RTFx on the OpenASR Leaderboard datasets. Canary-1B-Flash supports | |
| automatic speech-to-text recognition (ASR) in English, German, French, | |
| and Spanish. Additionally, it facilitates translation between these | |
| languages, with options for output with or without punctuation and | |
| capitalization. The model includes experimental features for | |
| generating word-level and segment-level timestamps, making it | |
| versatile for applications requiring precise temporal | |
| information. Canary-1B-Flash operates using a FastConformer Encoder | |
| and a Transformer Decoder, combined with a concatenated tokenizer that | |
| leverages SentencePiece for scalability across languages. This model | |
| is available under the CC-BY-4.0 license.</p> | |
| <h4>Run NVIDIA Canary-1B-Flash as server</h4> | |
| <h4>Prepare Shell scripts</h4> | |
| <h4>Configure mouse for seemless speech recognition</h4> | |
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