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@@ -54,6 +54,9 @@ Processing single interactions in real-time by **Reactive Language Models** lead
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> In example, for a dialog with **DeepSeek R1**, that have overally ~90k tokens, I paid for about 1.5M tokens. With **RxLM** it will cost only that ~90k tokens, so it
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> will be about **15x cheaper**
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## Reactive Transformer - drafts
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- [Architecture introduction](https://github.com/RxAI-dev/RxNN/blob/main/docs/research/ReactiveTransformer/reactive-transformer.md)
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- [Supervised Training stages](https://github.com/RxAI-dev/RxNN/blob/main/docs/research/ReactiveTransformer/supervised-training.md)
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> In example, for a dialog with **DeepSeek R1**, that have overally ~90k tokens, I paid for about 1.5M tokens. With **RxLM** it will cost only that ~90k tokens, so it
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> will be about **15x cheaper**
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> Reactive Transformer architecture was analysed by 10 state-of-the-art LLM/Reasoning models for its innovations and market disruption potential,
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> rated as ~4.36/5.0. Check - [Reactive Transformer AI Analysis](https://github.com/RxAI-dev/RxNN/blob/main/docs/research/ReactiveTransformer/ai-analysis.md)
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## Reactive Transformer - drafts
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- [Architecture introduction](https://github.com/RxAI-dev/RxNN/blob/main/docs/research/ReactiveTransformer/reactive-transformer.md)
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- [Supervised Training stages](https://github.com/RxAI-dev/RxNN/blob/main/docs/research/ReactiveTransformer/supervised-training.md)
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