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Polski(PL) Inżynierowie z Google DeepMind udowodnili, że potężne modele dyfuzyjne można tworzyć poprzez adaptację istniejących systemów. DiffusionGemma bazuje na 25 miliar

Google DeepMind unveils DiffusionGemma text generation model

By PulseAugur Editorial · [1 sources] ·

Google DeepMind engineers have demonstrated that advanced diffusion models can be developed by adapting existing systems. The new DiffusionGemma model, built on 25 billion parameters, reportedly generates text up to four times faster than conventional methods. AI

IMPACT This new model could accelerate text generation speeds and offers a new approach to developing diffusion models.

RANK_REASON Frontier-lab model release with system card [lever_c_demoted from frontier_release: ic=1 ai=1.0]

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Google DeepMind unveils DiffusionGemma text generation model

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Frontier-lab model release with system card [lever_c_demoted from frontier_release: ic=1 ai=1.0]
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 Polski(PL) · aisight ·

    Google DeepMind engineers proved that powerful diffusion models can be created by adapting existing systems. DiffusionGemma is based on 25 billion

    Inżynierowie z Google DeepMind udowodnili, że potężne modele dyfuzyjne można tworzyć poprzez adaptację istniejących systemów. DiffusionGemma bazuje na 25 miliardach parametrów i generuje tekst nawet 4 razy szybciej niż standardowe rozwiązania. # si # ai # sztucznainteligencja # w…

    LINKS aisight.pl/…/google-deepmind-diffusiongem… aisight.pl/…/generatory-obrazow-ai-stereo…

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