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<blockquote style="position: relative; padding-left: 55px;"><section><a href="https://mamot.fr/users/Khrys/statuses/113984469602080750">Khrys (khrys@mamot.fr)'s status on Thursday, 13-Feb-2025 02:19:49 JST</a><a href="https://mamot.fr/@Khrys" title="khrys@mamot.fr"><img src="https://gnusocial.jp/avatar/10321-48-20241231183108.webp" width="48" height="48" alt="Khrys" style="position: absolute; left: 0; top: 0;">Khrys</a><div><a href="https://mastodon.social/@Olivares/113984429800716522" rel="in-reply-to">in reply to</a><ul><li><li><a href="https://gnusocial.jp/user/112525" title="niavy@masto.bike">Niavy :bearn: :verified:</a></li></ul></div></section><article><p><a href="https://mastodon.social/@Olivares">@Olivares</a> <a href="https://masto.bike/@niavy">@niavy</a> </p><p>Oui merci, c'est pas comme si je voyais passer ça pour la première fois...</p><p>Une boîte noire conçue par des profachos pour nourrir leurs LLM.</p><p>in 2021 OpenAI believed they exhausted sources of higher-quality data to train their large language models and decided to complement scraped web text with transcriptions of YouTube videos and podcasts, and developed Whisper to solve this task.</p><p><a href="https://en.wikipedia.org/wiki/Whisper_(speech_recognition_system)" rel="nofollow noreferrer">https://en.wikipedia.org/wiki/Whisper_(speech_recognition_system)</a></p></article><footer><a rel="bookmark" href="https://gnusocial.jp/conversation/4553833#notice-8914923">In conversation</a><time datetime="2025-02-13T02:19:49+09:00" title="Thursday, 13-Feb-2025 02:19:49 JST">about 9 days ago</time> <span>from <span><a href="https://mamot.fr/@Khrys/113984469602080750" rel="external" title="Sent from mamot.fr via ActivityPub">mamot.fr</a></span></span><a href="https://mamot.fr/@Khrys/113984469602080750">permalink</a><h4>Attachments</h4><ol><li><label><a rel="external" href="https://gnusocial.jp/attachment/4125635">Untitled attachment</a></label><br></li></ol></footer></blockquote>

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Khrys (khrys@mamot.fr)'s status on Thursday, 13-Feb-2025 02:19:49 JSTKhrys
in reply to
- Laurent ☕ ᓚᘏᗢ
- Niavy :bearn: :verified:
@Olivares @niavy
Oui merci, c'est pas comme si je voyais passer ça pour la première fois...
Une boîte noire conçue par des profachos pour nourrir leurs LLM.
in 2021 OpenAI believed they exhausted sources of higher-quality data to train their large language models and decided to complement scraped web text with transcriptions of YouTube videos and podcasts, and developed Whisper to solve this task.
https://en.wikipedia.org/wiki/Whisper_(speech_recognition_system)
In conversationabout 9 days ago from mamot.frpermalink
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