Google DeepMind RecurrentGemma Beats Transformer Models

RecurrentGemma

Google DeepMind published a research paper that proposes language model called RecurrentGemma that can match or exceed the performance of transformer-based models while being more memory efficient, offering the promise of large language model performance on resource limited environments. The research paper offers a brief overview: “We introduce RecurrentGemma, an open language model which uses … Read more

Google DeepMind WARM: Can Make AI More Reliable

Google DeepMind WARM: Can Make AI More Reliable

Google’s DeepMind published a research paper that proposes a way to train large language models so that they provide more reliable answers and are resistant against reward hacking, a step in the development of more adaptable and efficient AI systems. Hat tip to @EthanLazuk for tweeting about a new research paper from Google DeepMind. AI Has … Read more

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