AI startups are wasting nearly 43% of their Large Language Model API budgets due to inefficient architecture issues such as retry storms, duplicate calls, context bloat, and incorrect model selection. This matters because it highlights the need for better cost tracking and optimization tools like LLMeter, which can help teams identify and reduce unnecessary spending by providing detailed usage insights.
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