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Some information is already available before running LLMCoder.complete(code), and may be provided as a pre-feedback before the first completion, e.g.
LLMCoder.complete(code)
pandas.
DataFrame
vectorstore = ElasticsearchStore(
In the best case, this would save us 1 entire loop, in the worst case it would add minimal overhead at runtime and considerable development effort.
The text was updated successfully, but these errors were encountered:
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Some information is already available before running
LLMCoder.complete(code), and may be provided as a pre-feedback before the first completion, e.g.pandas.(e.g.DataFrame)vectorstore = ElasticsearchStore(In the best case, this would save us 1 entire loop, in the worst case it would add minimal overhead at runtime and considerable development effort.
The text was updated successfully, but these errors were encountered: