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LLM agents often ignore readily available solutions in their environment, despite discovering them, revealing a surprising lack of environmental curiosity that severely limits their problem-solving ability.
Command A shows how to build an enterprise-grade LLM that balances performance, efficiency, and multilingual capabilities using decentralized training and model merging.
