NATURAL LANGUAGE DRIVEN PLANNING WITH MACHINE LEARNING MODELS
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United States of America
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Issued Date -
Dec 26, 2024
app pub date -
Jun 21, 2023
filing date -
Jun 21, 2023
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Abstract
Machine learning models are used to generate a plan that responds to a user request. The plan includes one or more skills selected from a list of available skills. The prompt may be written in natural language, enabling the user to express their intent without having to know which skills are available or their intricacies. In some configurations, a skill is included in the plan if an embedding representation of an example prompt associated with the skill is within a defined distance of an embedding representation of the user request. Additionally, or alternatively, the embedding distance computations are used to narrow the list of available skills, which is then used to construct a meta-prompt that selects a skill. Skills listed in the meta-prompt may include data types of parameters and return values. This allows the model that processes the meta-prompt to order skills based on data type compatibility.
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