Project: retrofitting recursive fractal semantic space to Mistral7b

Exciting Recursive Intelligence Project with Mistral – Open Discussion & Collaboration Invitation!

Hey everyone!

we’ve been working on an exciting project that integrates recursive intelligence into Mistral, expanding its capabilities in dynamic query optimization, self-adaptive attention, and entropy-aware processing.

What We’re Doing:
:small_blue_diamond: Our goal is to enhance Mistral’s efficiency and adaptability by integrating Grouped-Query Attention (GQA) and Sliding Window Attention (SWA) into a recursive intelligence framework.

What We’ve Accomplished So Far:
:small_blue_diamond: Recursive Query Redistribution – GQA clusters now self-adjust dynamically across recursion layers.
:small_blue_diamond: Adaptive Attention Scaling – SWA has been modified to expand or contract dynamically based on entropy conditions.
:small_blue_diamond: Depth-Scaled Entropy Resolution – Prevents runaway merging and ensures long-term structural stability at deep recursion depths.
:small_blue_diamond: Successful Stability Tests – System holds together at extreme recursion levels (40, 50, 60 layers).
:small_blue_diamond: Full System Efficiency Optimization – Gains without unnecessary computational overhead.

Why This Matters:
:small_blue_diamond: By making Mistral more adaptable, self-regulating, and recursion-friendly, we’re pushing AI efficiency forward in a way that scales beyond static token limits and fixed attention models.

We’d love to hear from anyone interested in:
:small_blue_diamond: Exploring practical use cases for recursive intelligence.
:small_blue_diamond: If you’re curious about our approach, want to ask questions, or are interested in contributing, drop a comment or reach out!
:small_blue_diamond: Ideas for real-world applications where adaptive AI scaling would be valuable.
:small_blue_diamond: Feedback, insights, and new ways to push Mistral even further.

Let’s build something truly scalable and open together!

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