Summary
It would be valuable to introduce the ability to retrain heiDGAF based on specific context-driven scenarios. Currently, the model works effectively in generalized contexts, but struggles to adapt in more specialized or evolving environments. Allowing users to retrain the model with context-specific data would increase its accuracy and applicability across different domains.
Add a feature to allow retraining the model with this data via the command-line interface (CLI) or API.
Motivation
heiDGAF does not allow for fine-tuning or retraining based on domain-specific or context-driven data. This limits its adaptability, especially when faced with niche jargon, emerging terminology, or specialized contexts.
Summary
It would be valuable to introduce the ability to retrain heiDGAF based on specific context-driven scenarios. Currently, the model works effectively in generalized contexts, but struggles to adapt in more specialized or evolving environments. Allowing users to retrain the model with context-specific data would increase its accuracy and applicability across different domains.
Add a feature to allow retraining the model with this data via the command-line interface (CLI) or API.
Motivation
heiDGAF does not allow for fine-tuning or retraining based on domain-specific or context-driven data. This limits its adaptability, especially when faced with niche jargon, emerging terminology, or specialized contexts.