GPT-4 is a very capable model. But it is also very expensive. Using it for real-world applications can quickly amount to thousands of dollars in API costs per month. In a recent study, researchers at Stanford University introduce “FrugalGPT,” a set of techniques that can considerably reduce the costs of using LLM APIs while maintaining accuracy and quality.
Cut the costs of GPT-4 by up to 98%
Cut the costs of GPT-4 by up to 98%
Cut the costs of GPT-4 by up to 98%
GPT-4 is a very capable model. But it is also very expensive. Using it for real-world applications can quickly amount to thousands of dollars in API costs per month. In a recent study, researchers at Stanford University introduce “FrugalGPT,” a set of techniques that can considerably reduce the costs of using LLM APIs while maintaining accuracy and quality.