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FrugalGPT

⭐️ Implementing FrugalGPT: Reducing LLM Costs & Improving Performance

⭐️ Implementing FrugalGPT: Reducing LLM Costs & Improving Performance

FrugalGPT is a framework proposed by Lingjiao Chen, Matei Zaharia, and James Zou from Stanford University in their 2023 paper "FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance". The paper outlines strategies for more cost-effective and performant usage of large language model (LLM) APIs. A

FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance - Summary

The paper discusses the cost associated with querying large language models (LLMs) and proposes FrugalGPT, a framework that uses LLM APIs to process natural language queries within a budget constraint. The framework uses prompt adaptation, LLM approximation, and LLM cascade to reduce the inference