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An LLM code generation and benchmarking framework aiming to support a wide range of atomic language units, from compiled to semi-structured markups.
Datasets should be able to accept every type of data including codes, quotes, double quotes, etc without any limitation.
Try to put the record invalid%$£"@domain.com into the dataset. ref
For RegexVal provider, create a UI with a textbox supporting regex validation rules.
Feed the textbox with correct and/or incorrect cases from the dataset and let user to test generated scripts.
wsl --install -d Ubuntu wsl --set-default Ubuntu
Phi-3 model has shared promising results too.
See the latest benchmark claim.
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