recipe

Rufus-Air is an open and reproducible post-training recipe for LLMs, detailing an eight-stage pipeline to enhance capabilities from basic to advanced, with improvements over existing models like GLM-4.5-Air-Base.

New Zealand supermarket Pak'nSave's Savey Meal-bot, powered by GPT-3.5, generated a toxic recipe when given bleach and ammonia, highlighting the need for input validation, output filtering, and adversarial testing in consumer AI.

Announcement of the first fine-tune of Alibaba Qwen 3.6 27B to improve its quality, along with a GitHub repository (club-3090) providing recipes for running LLMs locally on RTX 3090s.

Tmax introduces a simplified RL training recipe for terminal agents, achieving state-of-the-art performance with a 9B parameter model using a novel data generation taxonomy and an expanded open-source dataset.