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A Blog post by IBM Research on Hugging Face
Most evaluations in AI report a simple result: what score each model got on which benchmarking task. When you deploy an agent, you're not just choosing a model. You're choosing a full system: what tools the agent can use, how it plans its steps, what it remembers between actions, how it recovers when something goes wrong. Change any of those and the same model can produce very different results at very different costs.