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Optimizing Performance in Generative AI: Trimming Tokens

ID: f38c25d3-6668-54fa-84a2-6ec09449ea82

STIX ID: report--f38c25d3-6668-54fa-84a2-6ec09449ea82

Feed Name: HackerOne Blog

Date Published: 2024-01-22

Date Updated: 2026-06-12

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This article outlines techniques to optimize the performance of generative AI and large language models—such as trimming input/output tokens, choosing smaller models for simpler tasks, using parallel processing, and applying prompt engineering, caching, asynchronous processing, and monitoring to improve efficiency and reduce cost.

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