CoreWeave (CRWV) said it has launched unified agentic AI capabilities that accelerate progress toward the superintelligence loop, a closed feedback loop between training and inference. AI inference is a process where a trained AI model uses its learned knowledge to make predictions or conclusions on new, unseen data. The AI infrastructure solutions provider said that with reinforcement learning, production inference, agent observability, and autonomous improvement working as one closed loop, agents not only become more reliable, they compound in capability over time. The company said that until now, training reliable AI agents meant running lengthy offline evaluations for months before … Continue reading CoreWeave launches solutions for agentic AI improvement