Unlocking Precision with Copilot Tuning in Microsoft 365 Copilot
For Training & Enablement, Professional services on Copilot, Azure, Modern Works and other Microsoft Technologies reach out to us at @Sales@TechPlusTalent.com
Description
Generating a document specific to organizational needs like Agreements, contracts etc., that requires company approved formats and tone using Copilot general model might miss the specificity and contents that might be required. Which may not reflect the organization process and document writing.
This is a where AI Model fine tuning comes in the picture, it is a way for experts to make a machine learning (ML) model work better for a specific job.
What is Fine Tuning:
Fine tuning is a method in machine learning which uses already trained models to perform specific tasks in AI models.
It means changing the few parts of the model or settings to get it ready for the new task. It is easier to use a model that is already trained to perform a certain type of task than to train a new model for that task.
For Training & Enablement, Professional services on Copilot, Azure, Modern Works and other Microsoft Technologies reach out to us at @Sales@TechPlusTalent.com
Copilot Tuning:
Copilot tuning utilizes the power of fine tuning to use models that are trained on our company data to perform domain specific tasks. Now these models work alongside copilot’s LLM to perform tasks that are very specific to our organization. These models have more information on the tone of our organization, how our organization works, specific terms that are used in our organization and other business-related information. Once a Model is tuned within Copilot Studio building Agents using Agent Builder in Copilot Studio, we can easily incorporate this model with just a few clicks.
If we create the same organizational document using Agents with fine-tuned models, the response of the agent will stay close to the tone and policies of our organization and it will be as detailed as needs to be, even if it is 100 pages long.
Not just document creation currently, Copilot tuning supports three major types of tasks:
- Document Generation
- Document Summarization
- Expert QnA
Document Generation: We can use this to perform document creation tasks. Suppose we want to create an agreement document. This copilot agent will create the agreement based on the model’s knowledge provided. The fine-tuned agent will keep the company policies and procedure in mind and the document will be generated accordingly.
Document Summarization: This type of task is specified to create summaries out of complex documents. Let’s suppose we have created a long and lengthy assessment report for a client, but now the executives would not want to read the complete report instead we can ask out fine-tuned agent to create executive summaries based on past report summaries.
Expert QnA: This type of agent can be used to provide expert answers to questions based on our company’s documents and knowledgebase. Let’s say your organization provides technical assistance to clients. The employees can use this agent’s knowledge to provide quick expert assistance to the clients based on past knowledge.
Benefits:
Customized outputs: Fine-tuned agents give you results that match your specific needs.
Workflow efficiency: Fine-tuned agents can handle tasks automatically, saving time and effort.
Enhanced user trust: Consistent and accurate results make users trust Copilot more and use it regularly.
Easy setup: Copilot Tuning allows organizations to get fine-tuning benefits without needing to build an AI model from scratch.
Contact us at Sales@TechPlusTalent.com today to learn more about M365 Copilot and leveraging the power of agentic AI.
