Introduction
The Cost Optimization pillar recommends many techniques and best practices to adhere to during the design of Generative AI-based solutions and their associated workloads. If thorough planning is neglected and optimization efforts are not implemented, the management of ML workloads can become challenging down the line. The operational costs might surpass the initial investment. In this section, we will delve into several best practices and techniques that can aid in recognizing potential challenges and areas of improvements.
What are some best practices to optimize Cost during Architecting?
In the initial stages, when all stakeholders—including the engineering team, product team, and business users—collaborate to discuss and brainstorm the selection of the appropriate language model or a combination of various language...