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