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fofr@fofrAI
Summary of things:
- turn up randomness and ban the most likely words (temperature + min-p + XTC sampling) - ask for several different options at once, seed each with random constraints (verbalized sampling + entropy injection) - give it a memory of what it's said and pick the most different new answer (embedding max-min distance) - fine-tune it to prefer rare-but-good answers over its go-to ones (diversity-preference fine-tuning, lora)
fofr@fofrAI
I've been experimenting with using Gemma 4 modifications to make repetitively creative prompts.
Still some quirks, but these are all outputs from the same simple request: "a dynamic fashion photo of a woman"
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