A Stop Rule Is Just as Important as an AI Agent’s Next Action

Learn why AI agents need explicit stop rules to prevent loops, reduce cost, and improve control—plus practical hard/soft stops, handoffs, and checklists.

Celia Kreitner

Sampler Settings and Their Effect on AI Output Quality

Learn how sampler settings—temperature, top‑p, top‑k, min‑p, repetition penalties, and seeds—shape AI output quality and reliability.

Darnell Malan

Why AI Models Struggle With Rare Languages and Specialized Vocabulary

Learn why AI models struggle with rare languages and specialized vocabulary—from data scarcity and tokenization to evaluation blind spots—and how to mitigate errors.

Sean William