We are thrilled to share our latest work at BPM RED Academy: a full proof-of-value suite for Health and Oncology built on Llama 3.3 70B Instruct and deployed within the Hyperstack × NVIDIA ecosystem.
Key Highlights:
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Loss reduction: > 3× across all three domain models.
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Validation loss: < 0.1, achieving near-clinical generalization in oncology/personal-performance data.
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Models:
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HumAI Absolute _wF → Cognitive orchestration core
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Oncology Smart Prediction → Predictive analytics for therapy/outcome modelling
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Oncology Defence & Recovery → Adaptive recovery/resilience layer
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Why this matters:
We’ve integrated physiology, cognition and GPU-accelerated AI into a unified Human-GPU Command Loop**.** This is not just model fine-tuning — it’s system orchestration for humans + AI in real time.
Next steps & collaboration call:
We are open to partnerships in the NVIDIA ecosystem: deploying as a NIM/Blueprint, leveraging Camunda 8 orchestration, agent-market listings and monetization. EU pilot window (4-6 weeks) ready. NDA available.
📩 Contact: vucelj.edin1@gmail.com | +387 62 035 522
Happy to provide architecture diagrams, training logs and inference pipeline details on request.