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NLPTemplateEngine

Guides

  • Code generation by templates

Symbols

  • GetComputationalWorkflowTypeClassifier
  • NLPTemplateEngineData
  • Concretize
  • ConvertCSVDataForType
  • ConvertCSVData
  • GetAnswers
  • GetRawAnswers
  • LLMClassify
  • LLMTextualAnswer
  • NLPTemplateEngineAddData
  • NLPTemplateEngineReplaceData
Code generation by templates
This paclet aims to create (nearly) executable code for various computational workflows. The paclet has a database of templates and for a given natural language command the appropriate template is filled in with parameter values found in that command. The built-in Question Answering System (QAS)
FindTextualAnswer
is used default. LLM-based QAS can be also used. User workflow templates can be added.
Concretize
—
generatecodeusinginputspecs
GetRawAnswers
▪
GetAnswers
▪
LLMTextualAnswer
▪
NLPTemplateEngineData
▪
LLMClassify
""

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