how to oprimize roleplay models usage:
Per-user “verbosity prior” (how long you usually read before swiping away) → policy network sets max_new_tokens dynamically.
RLHF with token-budget penalty → model learns “this user only needs 40 tokens to be happy, so stop”.
if i wanted to do an character dot ai clone i would do this:
1. Pull Mistral-NeMo-12B.
2. Scrape 5-50k lines of canon dialogue.
3. LoRA fine-tune r=32, 2 epochs, 4-bit.
4. Export 100MB adapter → GGUF → Ollama.
5. Prompt: “You are Yae Miko…”
6. HTML for the frontend.
The new pattern: Start with AI agents → hire only when you hit a wall AI can't solve → that wall is usually relationships, liability, or deep expertise.
This is an excellent study on LLM hallucinations. My takeaways:
1. Treat neural nets less like rigid programs and more like statistical organisms.
From this lens, LLMs behave a bit like the brain: they fill in missing pieces by generalizing patterns, which makes them powerful…
Universal business truths:
"Nice to have" = "will never buy" - only sell painkillers, not vitamins
The person excited about your product usually can't write checks
Small businesses: Want enterprise features at consumer prices
Free trials often attract the cheapest customers
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