Prototyping Large Language Models Applications

Embarking on an AI journey requires a combination of vision, strategy, and execution. Central to this transformative path is the practice of prototyping, an essential step that not only tests and refines concepts but also aligns them with real -world business objectives. As the AI landscape continues to evolve, challenges of adoption may arise.

Download this whitepaper to learn the key role of prototyping in transforming AI concepts into actionable solutions, in addition to various use case examples and how NTT DATA can help navigate prototyping methodologies.

Vendor:

NTT

Posted:

Mar 22, 2024

Published:

Mar 22, 2024

Format:

HTML

Type:

White Paper