AI Token Cost Optimization: 15 Ways to Reduce LLM Costs Without Sacrificing Results
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AI costs often increase for reasons that have little to do with model pricing. As AI assistants, Copilots, retrieval systems, and AI agents scale across the enterprise, token consumption can grow rapidly without clear visibility into where spending originates. This guide explores 15 practical AI token cost optimization strategies, from prompt caching and RAG optimization to AI governance and token budgeting, helping organizations reduce LLM costs without sacrificing performance or business outcomes.
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