AI model diversity drives innovation, lowers costs, and enables customized solutions. Optimizing selection is key for maximizing ROI.
We’re entering a new era of AI where multiple foundation models compete, constantly evolving and vying for top leaderboard positions. This presentation explores:
– Compelling differences in model performance (e.g open source vs. closed, model, vs model)
– The importance of a healthy, competitive ecosystem in lowering costs and maximizing ROI
– Why end users need to rely on a variety of customized models
– How to optimize model selection based on price, speed, and quality
We’ll demonstrate how understanding and leveraging these distinctions can lead to more effective AI implementation across various projects.
