Optimizing LLM Costs
Executive Summary
Executive Summary
Overview of LLM cost optimization and performance improvement strategies
This report provides a comprehensive analysis of strategies for optimizing costs and improving performance in Large Language Model (LLM) applications.
As Generative AI continues to revolutionize industries, organizations face the challenge of managing escalating costs while maintaining high performance. Drawing from the FrugalGPT framework and industry best practices, this guide offers actionable insights for IT leaders, developers, and business stakeholders.
Key takeaways include:
- Understanding the primary cost drivers in LLM usage
- Implementing FrugalGPT techniques for significant cost reduction
- Balancing model accuracy, performance, and costs
- Adopting architectural and operational best practices
- Fostering a culture of cost-awareness in GenAI usage
By implementing the strategies outlined in this report, organizations can achieve up to 98% cost reduction while maintaining or even improving model performance.