Identifying prompts used for training of inference models
US-2024273300-A1 · Aug 15, 2024 · US
US9367290B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9367290-B2 |
| Application number | US-201514686998-A |
| Country | US |
| Kind code | B2 |
| Filing date | Apr 15, 2015 |
| Priority date | Nov 12, 2014 |
| Publication date | Jun 14, 2016 |
| Grant date | Jun 14, 2016 |
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Aspects of the present invention disclose a method, computer program product, and system for parsing a domain-specific language (DSL) statement. The method includes one or more processors accessing a DSL statement that includes contracted phrases. The method further includes one or more processors identifying one or more contracted phrases in the DSL statement utilizing an annotated domain vocabulary for a DSL associated with the DSL statement and grammar rules for the DSL. The method further includes one or more processors determining expanded phrases corresponding to the identified one or more contracted phrases based on the annotated domain vocabulary and the grammar rules. The method further includes one or more processors creating an expanded abstract syntax tree (AST) that is representative of the DSL statement with the determined expanded phrases replacing the identified one or more contracted phrases.
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What is claimed is: 1. A method for parsing a domain-specific language (DSL) statement, the method comprising: accessing, by one or more processors, a DSL statement that includes contracted phrases; identifying, by one or more processors, one or more contracted phrases in the DSL statement utilizing an annotated domain vocabulary for a DSL associated with the DSL statement and grammar rules for the DSL; determining, by one or more processors, expanded phrases corresponding to…
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
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