<ul><li>Researchers from Stanford University's Scaling Intelligence Lab introduced a new inference framework called Archon.</li><li>Archon uses an inference-time architecture search (ITAS) algorithm to improve the performance of large language models (LLMs) without additional training.</li><li>It is model agnostic, open-source, and designed to be plug-and-play for large and small models.</li><li>Archon has outperformed benchmark tests and other open-source LLMs in terms of task generalization and quality of responses.</li></ul>

Inference framework Archon promises to make LLMs quicker, without additional costs

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