Together AI has revolutionized sequence modeling architectures with the introduction of StripedHyena models, offering a computational efficient alternative to conventional Transformers. The release includes SH 7B and SH-N 7B models, showcasing improved speed, memory efficiency, and outperforming existing alternatives. The aim is to further enhance the model’s capabilities and incorporate multi-modal support for expanded applications.
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Introducing StripedHyena-7B: Revolutionizing AI Models for Middle Managers
Practical Solutions and Value
Together AI has made a big contribution to sequence modeling architectures with the introduction of StripedHyena models. These models provide alternatives to conventional Transformers, focusing on computational efficiency and enhanced performance.
This release includes the base model StripedHyena-Hessian-7B (SH 7B) and the chat model StripedHyena-Nous-7B (SH-N 7B). StripedHyena is based on important learnings from creating effective sequence modeling architectures, offering practical solutions for efficient training, fine-tuning, and generation of long sequences.
StripedHyena achieves efficiency through a unique hybrid structure that combines attention and gated convolutions organized into Hyena operators. It outperforms optimized Transformer baselines and provides advantages for inference efficiency, offering an alternative that is competitive with the best open-source Transformers in short and long-context evaluations.
In the future, the researchers aim to create bigger models that can handle longer contexts and incorporate multi-modal support, thus expanding the limits of information understanding and enhancing adaptability.
If you want to evolve your company with AI, stay competitive, and use AI to your advantage, consider implementing StripedHyena-7B for practical AI solutions that redefine your way of work.
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