#AI optimization

Google AI and University of Cambridge introduce MASS, a novel framework that optimizes multi-agent systems by jointly refining prompts and topologies, achieving superior performance across multiple AI benchmarks.

Researchers from the National University of Singapore developed Thinkless, a framework that dynamically adjusts reasoning depth in language models, cutting unnecessary computation by up to 90% while maintaining accuracy.

OpenAI launches Reinforcement Fine-Tuning on the o4-mini model, enabling developers to customize AI reasoning with precision using reinforcement learning techniques.