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Reactive AI
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https://rxai.dev
reactive_ai
RxAI-dev
rx-ai
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AI & ML interests

AGI, ASI, Reactive Awareness Models, Real-Time Reactive Language Models, Memory Systems, Reactive Neural Networks & Event-Driven AI

Recent Activity

AdamF92  updated a dataset 2 days ago
ReactiveAI/Wild-Chat-MRL
AdamF92  authored a paper 8 days ago
TensorBLEU: Vectorized GPU-based BLEU Score Implementation for Per-Sentence In-Training Evaluation
AdamF92  authored a paper 9 days ago
Reactive Transformer (RxT) -- Stateful Real-Time Processing for Event-Driven Reactive Language Models
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Papers

TensorBLEU: Vectorized GPU-based BLEU Score Implementation for Per-Sentence In-Training Evaluation

Reactive Transformer (RxT) -- Stateful Real-Time Processing for Event-Driven Reactive Language Models

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ReactiveAI 's collections 4

RxT-Beta Training Datasets
Datasets used to train RxT-Beta models - first generation of experimental Reactive Transformer (RxT) models trained on real-world data (English only)
Sparse Query Attention (SQA) Research
Experimental models with Sparse Query Attention layers. Reducing training time/cost by ~3-10% compared to GQA & MQA, with the same level performance
Reactive Transformer PoC - RxT-Alpha Supervised Models
Experimental stateful real-time Reactive Transformer (RxT) models after supervised training stages
Interaction SFT Datasets
Datasets used for Interaction Supervised Fine-Tuning (SFT) of reactive models, made for real-time processing of single sequence (interaction)
RxT-Beta Training Datasets
Datasets used to train RxT-Beta models - first generation of experimental Reactive Transformer (RxT) models trained on real-world data (English only)
Reactive Transformer PoC - RxT-Alpha Supervised Models
Experimental stateful real-time Reactive Transformer (RxT) models after supervised training stages
Sparse Query Attention (SQA) Research
Experimental models with Sparse Query Attention layers. Reducing training time/cost by ~3-10% compared to GQA & MQA, with the same level performance
Interaction SFT Datasets
Datasets used for Interaction Supervised Fine-Tuning (SFT) of reactive models, made for real-time processing of single sequence (interaction)