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README.md
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short_description: Reactive AI - Reactive Neural Networks and Event-Driven AI
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<img src="https://raw.githubusercontent.com/RxAI-dev/RxNN/refs/heads/main/assets/logo/logo_rxai_v2.png" width="350" />
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# Reactive AI
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We are working on our own ideas of Reactive Neural Networks (RxNN) and Event-Driven AI, advancing from language models to AGI awareness models.
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## Reactor AGI
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<img src="https://raw.githubusercontent.com/RxAI-dev/RxNN/refs/heads/main/assets/logo/logo_reactor.png" width="350" />
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Our primary architecture - **Reactor** - is planned as the first _**awareness AGI model**_, that's modelling awareness as an _Infinite Chain-of-Thoughts_,
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connected to _Short-Term and Long-Term Memory_ (_Attention-based Memory System_) and _Receptors/Effectors_ systems for real-time reactive processing.
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short_description: Reactive AI - Reactive Neural Networks and Event-Driven AI
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---
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<!-- <img src="https://raw.githubusercontent.com/RxAI-dev/RxNN/refs/heads/main/assets/logo/logo_rxai_v2.png" width="350" /> -->
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# Reactive AI
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We are working on our own ideas of Reactive Neural Networks (RxNN) and Event-Driven AI, advancing from language models to AGI awareness models.
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## Reactor AGI
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<!-- <img src="https://raw.githubusercontent.com/RxAI-dev/RxNN/refs/heads/main/assets/logo/logo_reactor.png" width="350" /> -->
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Our primary architecture - **Reactor** - is planned as the first _**awareness AGI model**_, that's modelling awareness as an _Infinite Chain-of-Thoughts_,
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| 35 |
connected to _Short-Term and Long-Term Memory_ (_Attention-based Memory System_) and _Receptors/Effectors_ systems for real-time reactive processing.
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