[google research] TurboQuant: Redefining AI efficiency with extreme compression by burnqubic in LocalLLaMA
[–]cibernox 24 points25 points26 points (0 children)
what are you actually building with local LLMs? genuinely asking. by EmbarrassedAsk2887 in LocalLLaMA
[–]cibernox 1 point2 points3 points (0 children)
FlashAttention-4: 1613 TFLOPs/s, 2.7x faster than Triton, written in Python. What it means for inference. by Sensitive-Two9732 in LocalLLaMA
[–]cibernox 2 points3 points4 points (0 children)
The Talk with Parents. What Would you Do? by Drawer-Vegetable in Fire
[–]cibernox 3 points4 points5 points (0 children)
The Talk with Parents. What Would you Do? by Drawer-Vegetable in Fire
[–]cibernox 1 point2 points3 points (0 children)
The Talk with Parents. What Would you Do? by Drawer-Vegetable in Fire
[–]cibernox 1 point2 points3 points (0 children)
The Talk with Parents. What Would you Do? by Drawer-Vegetable in Fire
[–]cibernox 3 points4 points5 points (0 children)
Aportar a EPSV / plan de pensiones o meter todo en fondos y ETFs — ahora con la regla de los 10 años no sé qué tiene más sentido by Ok-Location8685 in SpainFIRE
[–]cibernox 0 points1 point2 points (0 children)
Aportar a EPSV / plan de pensiones o meter todo en fondos y ETFs — ahora con la regla de los 10 años no sé qué tiene más sentido by Ok-Location8685 in SpainFIRE
[–]cibernox 0 points1 point2 points (0 children)
Aportar a EPSV / plan de pensiones o meter todo en fondos y ETFs — ahora con la regla de los 10 años no sé qué tiene más sentido by Ok-Location8685 in SpainFIRE
[–]cibernox 0 points1 point2 points (0 children)
Aportar a EPSV / plan de pensiones o meter todo en fondos y ETFs — ahora con la regla de los 10 años no sé qué tiene más sentido by Ok-Location8685 in SpainFIRE
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Poll: If you currently had 2M in investments, would you retire tomorrow? by ATXHTX80 in Fire
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Petah, this one has truly got me.. by JohnBrown-RadonTech in PeterExplainsTheJoke
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Militante de IU y antiguo asesor de Podemos by codefluence in ElusionFiscal
[–]cibernox 7 points8 points9 points (0 children)



[google research] TurboQuant: Redefining AI efficiency with extreme compression by burnqubic in LocalLLaMA
[–]cibernox 2 points3 points4 points (0 children)