pthinc/BCE-Prettybird-Nano-Hephaistos-v0.1
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Decision-centric AI architectures, learned optimization models, constraint-based reasoning systems, modular multimodal AI, and architectural approaches to AI safety, ethics, and control.
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BCE-Prettybird-Nano-Hephaistos-v0.1 - 1390 Robotics for Instruction-Based Learning
#1 opened 3 days ago
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Another step toward Extreme Edge AI — introducing Asena_ESP32_MAX, a Tiny LLM (~12M params) built for behavior, not scale. Running where most models can’t even load, it focuses on structured generation, instruction-following, and BCE-based control rather than raw knowledge. Think less “bigger brain,” more “better behavior.” From ESP32-inspired constraints to Raspberry Pi–level deployment, this model explores how far we can push intelligence under limits. A small model, a ring, a snap… and systems align. Curious? 👉 pthinc/Asena_ESP32_MAX
Asena_ESP32_MAX Here...
#1 opened 12 days ago
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