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Inference framework Archon promises to make LLMs quicker, without additional costs
Stanford researchers presented Archon, a framework that can cut down on inference costs and allow LLMs to perform better.
As LLM development turns toward larger parameters or more advanced reasoning, costs could increase despite companies like OpenAI anticipating more affordability. The framework makes multiple LLM calls because of the different operations it does so single question-and-answer queries won’t benefit from its capabilities. Archon may work better for tasks involving complex instructions like solving equations, programming, or even complicated customer service issues.
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