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  <!-- Provide a quick summary of what the model is/does. -->
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  ## Introduction
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- ServiceNow is a platform that helps businesses automate their processes and workflows. They offer several solutions such as ITSM. Currently, users of ServiceNow generally need to apply filters and/or build dashboards to observe data about tables in ServiceNow, such as incidents and problems. Building dashboards and reports often require the help of developers and may be a hassle just for quick information. Dashboards are useful for visual representation, but it would be useful to be able to ask questions about the data just to a chatbot. As I didn’t know how feasible it would be to integrate a ServiceNow instance with LLM, but instead, I created some sample tables with some ServiceNow fields and used that as data. The task is to create a custom LLM chat/assistant that takes in data from tables ServiceNow uses such as incident, change, and problem, which can then be used to respond to user queries in natural language.
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  ## Training Data
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  <!-- Provide a quick summary of what the model is/does. -->
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  ## Introduction
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+ ServiceNow is a platform that helps businesses automate their processes and workflows. They offer several solutions such as ITSM. Currently, users of ServiceNow generally need to apply filters and/or build dashboards to observe data about tables in ServiceNow, such as incidents and problems. Building dashboards and reports often require the help of developers and may be a hassle just for quick information. Dashboards are useful for visual representation, but it would be useful to be able to ask questions about the data just to a chatbot. I created some sample tables with some ServiceNow fields and used that as data. The task is to create a custom LLM chat/assistant that takes in data from tables ServiceNow uses such as incident, change, and problem, which can then be used to respond to user queries in natural language.
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  ## Training Data
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