Generative AI Cost Optimisation Strategies [Video]

As an executive exploring generative AI’s potential for your organisation, you’re likely concerned about costs. Implementing AI isn’t just about picking a model and letting it run. It’s a complex ecosystem of decisions, each affecting the final price tag. This article will guide you to optimise costs throughout the AI life cycle, from model selection and fine-tuning to data management and operations.

Model Selection

Wouldn’t it be great to have a lightning-fast, highly accurate AI model that costs pennies to run? Since this ideal scenario does not exist (yet), you must find the optimal model for each use case by balancing performance, accuracy, and cost.

Start by clearly defining your use case and its requirements. These questions will guide your model selection:

• Who is the user?
• What is the task?
• What level of accuracy do you need?
• How critical is rapid response time to the user?
• What input types will your model need to handle, and what output types are …