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Source channel @githubtrending · Post #14798 · Jun 6

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#jupyter_notebook Unsloth is a tool that makes it much faster and easier to fine-tune large language models like Llama, Mistral, and Gemma, even on regular computers or single GPUs. It uses smart tricks to speed up training by 2 to 5 times and cuts memory use by up to 70%, so you can train models quickly without needing expensive hardware[1][3][4]. The benefit is that anyone—developers, researchers, or AI fans—can create custom AI models for different tasks, from chatting to vision, in less time and with less hassle, using ready-made notebooks and guides for popular models[3][5]. https://github.com/unslothai/notebooks

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Tutto Elezioni

@tuttoelezioni · Post #1382 · 11/22/2025, 11:59 AM

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#Sondaggi #Italia🇮🇹 #Regionali #Campania Sondaggio di Bidimedia. Data: 7 novembre 2025. Campione: 1.000 persone. Margine di errore: ±3,1%. 🟧 Roberto #Fico (#M5S|LEFT; sostenuto anche da #PD|S&D, #AVS|G/EFA|LEFT, #PSI|S&D, #PRI|Centro, #PSDI|Centro-sinistra; #Volt|G/EFA, #IV|RE, #PiùEu|RE, #nDC|Centro, #NS|Centro-destra, liste minori e civici): 54,4% 🟦 Edmondo #Cirielli (#FdI|ECR, #FI|PPE, #LSP|PfE, #NM|PPE, #UdC|PPE, #DC|Centro; #DCR|Centro, #NPSI|Centro-destra, #ScN|Meridionalisti, liste minori e civici): 42,0% 🟥 Giuliano #Granato (#PCI|Estrema sinistra, #PaP|Estrema sinistra, #PRC|LEFT): 2,3% 🟦 Stefano #Bandecchi (#DB-#AP|PPE): 0,5% ⬜️ Nicola #Campanile (civico): 0,5% ⬜️ Carlo #Arnese (civico): 0,3% @TuttoElezioni

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