Comment by robocop_legacy
2 months ago
I think there is potentially a powerful method here. Specifically, the optimal context for a given task can be saved and a meta-learner can be trained to map the task to the context. This would allow fine tuning a model for some specific task without retaining the LLM. For example, generating an SEM image with of some material with a specified porosity and grain size.
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