Summary
A developer has introduced "Prisma," a new interpretability-inspired AI model distinct from common architectures like GPT or Llama. This early-stage prototype features novel design choices, including attention and output weight sharing to reduce parameters, an additional weight set in the FFN, and Word-Relative Rotary Positional Encoding. The creator is actively seeking community feedback on this experimental architecture.
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