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TRINITY is a lightweight 0.6B parameter coordinator that learns to orchestrate multiple LLMs by assigning them roles (Thinker, Worker, Verifier) using an evolutionary strategy. It outperforms individual models and existing coordination methods across coding, math, reasoning, and domain knowledge tasks.
Maestro is a reinforcement learning-driven framework that dynamically composes ensembles of frozen expert models and skills for multimodal tasks, achieving 70.1% average accuracy with a 4B orchestrator, surpassing GPT-5 and Gemini-2.5-Pro.
Rork introduces its AI Cloud service, enabling users to build AI applications using over 150 models including GPT and Kling without needing API keys.