ML (traditional/DL/computer vision/NLP)
Which type of model you’re using will depend on your use case and goals for your product. As we’ve covered in varying chapters, the exact model you go with will depend on the data you have, how you’re able to tune your hyperparameters, and what level of explainability and transparency you’ll need for your use case. We’re focusing on AI/ML native products in this section of the book and, as such, identifying which ML model(s) you will use for the foundation of your product will be an important decision, and all features you add onto your core product will also be an act of doing a cost-benefit analysis of the models you’re adding to power those features.
Most products that are out there right now are not AI/ML native in that they are existing software programs and packages that are incrementally adding new AI features and then rebranding their products as AI products. This isn’t exactly true...
