Update README.md

README.md

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 <!-- Provide a quick summary of what the model is/does. -->
 
 ## Introduction
-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 I could instead just import example tables as csv files and use that as data. The task is to create a custom LLM chatbot that uses data from tables ServiceNow uses such as incident, change, and problem, which can then be used to respond to user queries in natural language. An LLM like chat-gpt probably wouldn’t work too poorly with this table data, but the costs of using those are probably higher as well. 
+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. 
 
 ## Training Data