In the rapidly evolving landscape of Large Language Models (LLMs), the industry has long focused on the "brain"—the weights, the training data, and the raw inference capability of the model itself. However, a groundbreaking new study, HarnessDev, suggests that the true bottleneck for AI performance isn’t the model’s intelligence, but the "harness" that surrounds it. […]
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Tag: architectures
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