Hawk and Griffin: Efficient RNN Models Redefining AI Performance Post date January 14, 2025 Post author By Gating Post categories In Uncategorized
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
Hawk and Griffin: Mastering Long-Context Extrapolation in AI Post date January 14, 2025 Post author By Gating Post categories In ai-extrapolation, deep-learning, efficient-ai, griffin-model, hawk-model, language-models, long-context-ai, token-prediction
Griffin Model: Advancing Copying and Retrieval in AI Tasks Post date January 14, 2025 Post author By Gating Post categories In ai-extrapolation, copying-tasks, deep-learning, efficient-ai, griffin-model, language-models, retrieval-tasks, transformers
Hawk and Griffin Models: Superior Latency and Throughput in AI Inference Post date January 14, 2025 Post author By Gating Post categories In ai-inference, deep-learning, efficient-ai, griffin-model, hawk-model, high-throughput, low-latency, transformers
Recurrent Models: Enhancing Latency and Throughput Efficiency Post date January 14, 2025 Post author By Gating Post categories In ai-research, cache-efficiency, deep-learning, high-throughput, language-models, low-latency, recurrent-models, transformers
Recurrent Models: Decoding Faster with Lower Latency and Higher Throughput Post date January 14, 2025 Post author By Gating Post categories In ai-inference, decoding-efficiency, deep-learning, high-throughput, language-models, low-latency, recurrent-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
Efficient linear recurrences on device Post date January 14, 2025 Post author By Gating Post categories In ai-research, custom-kernel, deep-learning, efficient-training, hawk-model, rg-lru-layer, scalable-ai, tpu-optimization
Efficient Training: Scaling Griffin Models for Large-Scale AI on TPUs Post date January 14, 2025 Post author By Gating Post categories In ai-model-scaling, ai-research, deep-learning, efficient-training, griffin-model, model-parallelism, scalable-ai, tpu-optimization
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
RNN Models Hawk and Griffin: Transforming NLP Efficiency and Scaling Post date January 13, 2025 Post author By Gating Post categories In ai-models, deep-learning, efficient-ai, language-models, multi-query-attention, nlp-research, rnn-model, scalable-ai
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