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few shot prompts

⭐️ 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

Boosted Prompt Ensembles for Large Language Models -Summary

The paper proposes a prompt ensembling method for large language models called 'boosted prompting', which uses a small dataset to construct a set of few shot prompts that together comprise a boosted prompt ensemble. The few shot examples for each prompt are chosen in a stepwise fashion to be 'hard'