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Yeah I've been thinking about this lately. LLMs come and go. Prompt engineering techniques come and go. But eval / labelled dataset is always useful once you
by paradite 3y ago
Yeah I've been thinking about this lately.
LLMs come and go.
Prompt engineering techniques come and go.
But eval / labelled dataset is always useful once you built it.
- nestorD 3y agoIn my experience, architecture stays. A nice modular codebase (where you can switch-out the various models and have control on the minutia of the pipeline from data to model) brings a lot of value and can fairly easily be kept up-to-date with best practices.
- deleted 3y ago[deleted]