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chrisjh | 2 years ago
The product I’m building is predicated on prompt engineering and it works really well for us — our results need to be as accurate and structured as possible so they can be re-used as software dependencies. We do this by auto-generating a context on the fly and tailoring it to your specific data sources (databases, APIs), sampling data, and so on. We do both manual and "auto" tuning of the context to provide the best results.
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