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LLMs can beat each other at Chess, but can't reliably jailbreak each other or generate novel challenges, revealing limitations in creativity and adversarial thinking.
Command A shows how to build an enterprise-grade LLM that balances performance, efficiency, and multilingual capabilities using decentralized training and model merging.
