Illuminating Information - Embracing Corporate Knowledge podcast

Tokenmaxxing: A Trend to Tread Lightly

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As enterprises experiment with larger context windows, longer prompts, and more advanced AI systems, more information can seem like the key to better results. But excessive context can increase costs, slow response times, and reduce answer precision.

In this episode of Illuminating Information, Malena Kronberger, Product Owner Services & API at Mindbreeze, explains what tokenmaxxing means for enterprise AI. She discusses how tokens affect performance and cost, why retrieval strategy matters more than context-window size, and how organizations can provide AI systems with relevant, current, and permitted information.

Learn how better retrieval and more precise context can reduce unnecessary token usage while improving the accuracy, predictability, and trustworthiness of enterprise AI.

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