RNNs vs. Transformers: Innovations in Scalability and Efficiency Post date January 14, 2025 Post author By Gating Post categories In ai-research, deep-learning, efficient-ai, linear-attention, rnn-models, scalable-ai, ssm-models, transformers
Training speed on longer sequences Post date January 14, 2025 Post author By Gating Post categories In ai-models, deep-learning, hawk-and-griffin-models, language-models, nlp-research, rnn-models, scalable-ai, transformers
Hawk and Griffin Models: Superior NLP Performance with Minimal Training Data Post date January 13, 2025 Post author By Gating Post categories In ai-research, deep-learning, efficient-ai, griffin-model, hawk-model, llama-v2, nlp-performace, rnn-models
Griffin Models: Outperforming Transformers with Scalable AI Innovation Post date January 13, 2025 Post author By Gating Post categories In ai-research, chinchilla-scaling, deep-learning, efficient-ai, griffin-model, rnn-models, scalable-ai, transformers
Recurrent Models Scale as Efficiently as Transformers Post date January 13, 2025 Post author By Gating Post categories In deep-learning, efficient-ai, griffin-model, hybrid-ai, nlp-scaling, rnn-models, sequence-processing, transformers
RG-LRU: A Breakthrough Recurrent Layer Redefining NLP Model Efficiency Post date January 13, 2025 Post author By Gating Post categories In ai-models, deep-learning, efficient-ai, gating, nlp-innovations, rg-lru, rnn-models, temporal-mixing
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