Description: Oriented models are systems designed with a specific goal or application in mind, allowing them to efficiently address concrete problems. These models are characterized by their ability to integrate and process multiple types of data, such as text, images, and audio, making them versatile tools in the field of artificial intelligence and machine learning. Their design focuses on optimizing specific tasks, meaning that each model can be fine-tuned and trained to maximize its performance in a particular context. This specialization allows oriented models to be more effective than general models, as they can leverage unique features of the data they handle. In the context of multimodal models, the combination of different data modalities enables a richer and deeper understanding of information, facilitating the creation of more complex and useful applications. In summary, oriented models are fundamental for the development of technological solutions that require a tailored approach to the needs of users or the problems to be solved.
