Three MIT-IBM Computing Research Lab alumni now at IBM describe how the joint lab helped translate their PhD research in quantum machine learning, reinforcement learning, and trustworthy AI into production systems.
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Three MIT-IBM Computing Research Lab alumni now at IBM describe how the joint lab helped translate their PhD research in quantum machine learning, reinforcement learning, and trustworthy AI into production systems.
IBM’s Granite 4.2 is its first reasoning-focused LLM family, trained on ~15T tokens and refined through a multi-stage reinforcement learning pipeline that teaches the 8B and 30B models to act as coding, terminal, and search agents.