The Technology Leader’s Primer For AI Foundation Models

April 4th, 2024

Charlie Dai VP, Principal Analyst

Leslie Joseph Principal Analyst

Rowan Curran Senior Analyst

With contributors:

Sudha Maheshwari , Srividya Sridharan , Brandon Purcell , Michele Goetz , Karsten Monteverde , Jen Barton

Summary

Foundation models are becoming critical for the next generation of AI applications. Trained on massive and diverse datasets, foundation models have capabilities beyond traditional ML models. But to select these models effectively, technology leaders must understand their characteristics, evaluate use case fit, leverage testing environments, consider model deployment and transparency, and assess ecosystem capabilities. Use this report to help you develop evaluation frameworks to effectively select and use foundation models.

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