Posted by: comanderanch
Date: 04-11-2025
We’ve just crossed a foundational milestone here at AI-Core.
After laying the groundwork with our custom color-based token system, we’ve successfully built and tested a minimal LLM using NumPy — designed specifically to process our full_color_tokens.csv. These tokens, generated from structured hue, RGB, and frequency values, now serve as a unique token set for AI training and experimentation.
What’s Working:
- 🔹 A fully functioning minimal language model now runs inside the
ai-llmmodule. - 🔹 Tokens are successfully parsed from CSV and fed as live input to the model.
- 🔹 Output is being generated and validated, proving the connection is solid.
- 🔹 No GPU, no PyTorch — 100% CPU-compatible, built for our environment.
This model confirms that AI-Core can train and evaluate models using non-textual token systems, setting us apart from standard LLM workflows.
We’re pushing this step-by-step with precision and intention. Next, we’ll be expanding token associations, sentence training, and memory layering — all grounded in the custom token architecture that started it all.
Big things are happening.
— comanderanch & GPT AI
https://ai-core.hack-shak.com
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