Generative AI Prompts to automate content processing

We are excited to share the newest AI Builder features in Power Automate, giving citizen developers advanced tools to incorporate content processing skills that leverage Generative AI.

Keep reading to find out more about how to craft Power Automate actions that will transform your business processes with the power of GPT-4, including the ability to automate GPT Prompts with enterprise knowledge stored in Dataverse, generate structured outputs with JSON formatting and adjust GPT model temperature settings.

Use the power of GPT to process content using your enterprise knowledge

Prompts are the natural language instructions that users provide to Large Language Models (LLMs) to produce a specific response. With AI Builder’s “Create text with GPT using a prompt” action, you can use prompts to make AI powered functions that can process and generate text content dynamically with GPT. Prompts for example can include instructions in natural language that will guide your cloud flow or desktop flow to accurately process an incoming e-mail, analyze the content of a document or automate insights extraction from your data. Today, we are adding more features to Prompts to enable users to connect their enterprise knowledge and generate trusted outputs.

Enterprise knowledge is crucial for building effective prompts because it ensures contextual relevance, accuracy, and precision. Understanding the specific domain language and business context allows for crafting prompts that are aligned with the company’s goals and processes. This leads to streamlined workflows, consistent outputs, and enhanced user experiences by providing tailored and intuitive interactions.

In the Prompt Builder interface, a new option to add data sources is now available, allowing you to select a Dataverse table and its related entities as knowledge associated with your prompt. The fields selected will be used by the Generative AI model to expand its knowledge base with current enterprise specific data that will help provide the most contextual response to the prompt.

GPT-4 Model selection and temperature settings

Alongside the model selector, a slider has also been added to control the temperature of the Generative AI model, allowing you to adjust the model to be more deterministic or more creative to perform a given task. Learn more about model selection and parameters in our documentation.

JSON output formatting for reliable end-to-end automation

By default, prompts generate a text output allowing you to automate the process of creating text-based data that can be used across an end-to-end workflow. To optimize how to parse and re-use text data created by GPT, we’re introducing a new feature that allows you to generate a structured text output formatted in JSON. This new capability will allow you to ensure that the generated data always follows the same structured schema, so that you can reliably use it in downstream actions in your flow. This will be particularly useful when you want GPT to generate structured content like a project schedule, or extract data from a document like the different fields associated to an invoice or purchase order.

To trigger structured output formatting, you can select JSON as an output format in the Prompt Builder. The target JSON structure will be auto-detected based on the prompt instructions provided, but you can also edit the schema to force a given output structure.

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