Model Selection Strategies
Choosing between using a foundational model like YOLO or developing a new one depends on the complexity of the task and the amount of available data. For intricate tasks such as object detection, fine-tuning a pre-trained model is often more efficient than starting from scratch. In contrast, simpler tasks like sentiment analysis may benefit from training a smaller model independently, as they require less data and computational resources.In this clip
From this podcast
Practical AI
Only as good as the data
Related Questions