For those who requested the math: The Master Projection Framework is now live. Equation (2) is the physics; LILA-E8 is the neural implementation. Audit the Source. https://doi.org/10.5281/zenodo.1...
The Innovation: Most transformers suffer from "semantic friction" in standard attention. I replaced the attention mechanism with a native E8 Root System Lattice. By leveraging the densest sphere packing in 8D, LILA-E8 achieves a state of "Geometric Resonance" that standard architectures simply cannot reach at this scale.
Geometric Attention Transformer with the E8 Root System: Lila-E8 (Lie Lattice Attention Language Model) -
The Geometry of Scale: Standard transformers scale by adding more 'Euclidean soup' (more parameters). LILA-E8 scales by increasing the packing density of the manifold. If the 8D version crunches 40M parameters into SOTA performance.
🚀 Results at 200k steps:
- Model: 40M parameters.
- Performance: 0.37 Train / 0.44 Val Loss
- Stability:1000+ tokens without semantic loops.
Hi Makers! This thread is dedicated to you if you are: (1) launching soon or recently launched (2) looking for beta users (3) asking for feedback on a landing page First, start by helping out another maker. You can check out their launch, give their product a review or share a comment on their launch post. Once you've helped someone else out, share your product link here and BE SPECIFIC about who your target audience is and how we can help.
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