Custom Models become essential when raw embeddings from Hume’s expression models require further tailoring for specific applications. Here are scenarios where Custom Models offer significant advantages:
In environments with unique characteristics or requirements, Custom Models enable the creation of context-specific labels, ensuring more relevant and accurate insights. If your project demands a particular set of labels that are not covered by Hume’s emotional expression labels, Custom Models enable you to create and apply these labels, ensuring that the analysis aligns with your specific objectives.
In evolving fields or scenarios where data and requirements change over time, Custom Models offer the flexibility to iteratively improve and adapt the model with new data and labels.
Updated 3 months ago