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2025 playbook for enterprise AI success, from agents to evals
From scaling AI agents to evals, to inference reasoning, optimizing costs, and personalization, here are the five critical areas enterprises should prioritize for their AI strategy this year.
Unlike traditional software, agents powered by large language models (LLMs) can make nuanced decisions, navigate complex multi-step tasks, and integrate seamlessly with tools and APIs. A good eval ensures that a chatbot understands tone, a recommendation system provides relevant options, and a predictive model avoids costly errors. Competition from new hardware vendors such as Groq’s LPUs, and improvements by the legacy GPU provider Nvidia, are dramatically reducing inference costs, making AI accessible for more use cases.
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