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Copilot (licence) - Copilot Studio agent settings Tutorial

Unlock the full potential of your digital assistant with our guide on 'copilot studio agent settings.' Discover how to customize your agent's name and icon, manage generative AI features, and refine security settings. Perfect for anyone looking to enhance their agent's capabilities, this video is a must-watch for maximizing efficiency!

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it is recommended to review the settings to refine its configuration.
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In the generative AI section.
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You define whether the AI should be limited
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to the content and behavior you designed,
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or whether it can operate with more autonomy.
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You enable advanced reasoning,
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even though it may take more time.
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You allow other assistants to use this one.
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You can also continue using a language model that
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has been retired for an additional 30 days.
00:00:41
You specify the format and style of the assistant's responses.
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You determine the moderation level
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as well as the default response in such cases.
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You manage user feedback collection.
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You define whether the agent can access general knowledge and optionally
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information from the web.
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You specify how files are processed and enable the code interpreter
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if you have the premium license.
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Finally,
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by activating tenant graph grounding with semantic search,
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you move from a library style search
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keyword based
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to an expert style search that favors context and meaning.
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In the agent details section,
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you can change the name and icon of your agent.
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For security,
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you have the following options.
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You select how your assistant verifies the user's identity.
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You manage the tokens for the default channels provided.
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Connection settings deal with the permissions associated with the assistant.
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The authoring canvas helps organize the nodes used in topics.
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Entities provide real world information.
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Thanks to them,
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the agent quickly recognizes relevant data.
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Skills allow the assistant to perform actions
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such as scheduling meetings or managing tasks.
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These are available with the premium version.
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The voice section is useful if the agent
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functions as a phone or video call assistant.
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In the languages tab,
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you can add secondary languages to expand your agent's reach.
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In language understanding,
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you choose between the default NLU model
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or a predefined Azure model
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such as CLU.
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The component collection section allows you to
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create reusable component libraries for different agents.
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Finally,
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in advanced settings,
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you will find.
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Links to Viva Insights,
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agent metadata,
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transcription enhancement options.
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And the view solution,
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which usually displays the common data services default solution.
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A final tip
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Only modify these settings if you fully understand their impact.
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Also note that some options may be restricted or unavailable
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depending on the security rules set by your IT department.

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