The video transcript from IBM Technology describes a five-stage workflow for creating specialized AI models using foundation models. The workflow begins with data preparation, where large datasets are curated, categorized, and filtered. Next, the data is used to train a foundation model, which is a pre-trained model that can be adapted for various purposes. After training, the model is validated using benchmark tests to assess its performance. The model can then be tuned by application developers using additional data, improving its performance for specific tasks. Finally, the tuned model is deployed as a service or embedded into an application. The video highlights the benefits of this approach, including accelerated development time and greater sophistication in creating AI-driven applications.
https://www.youtube.com/watch?v=jcgaNrC4ElU

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