Human-GPU Convergence | BPM RED Academy × NVIDIA | Fine-Tuned Llama 3.3 Models for Digital Twins in Health and Defence

Our team at BPM RED Academy is pioneering the Human-GPU Convergence model — an adaptive, effort-based AI orchestration system uniting Hyperstack, Camunda 8, and NVIDIA NGC.

We’ve fine-tuned multiple Meta Llama 3.3 70B Instruct models achieving > 3× loss reduction and < 0.1 validation loss across health, defence, and performance datasets.

Each model (BPM_HumAI_Absolute, BPM_DEA_NEMO, BPM_Oncology_Suite) forms a layer in our Real-Time Effort-Given-Based Track / Board / Credentialing Digital Twin framework.

🚀 We invite fellow NVIDIA developers and research partners to collaborate on the next stage of human-centred AI standardization.

Learn more about our ecosystem and join the discussion below 👇