Model Agnostic Framework

[cry0genic]

Hey, just thinking out loud:

Right now, models are fine-tuned on the WebLINX dataset. As models continue to evolve and become better, if we want the model to work in a certain way, we'll always have to fine-tune the model with the WebLINX dataset. In this case, we're model-dependent, and it'll cost money to upgrade to the new model. Is there some way this can become a model-agnostic framework?

Example: If GPT5 or Llama 4 are launched, instead of fine-tuning them on the WebLINX dataset to behave in a certain way, there's a framework that can help orchestrate the same outcome.

This would be a more cost-effective and sustainable method.

Let me know your thoughts!