New Microsoft 365 Copilot Tuning | Create fine-tuned models to write like you do

Create fine-tuned, task-specific models that write like you by
teaching models using expert knowledge, tone, and structure -
with reference information directly attached to the models
themselves using Microsoft 365 Copilot Tuning.


Fine-tuning adds new skills to foundational models, simulating
experience in the tasks you teach the model to do. This
complements Retrieval Augmented Generation, which in real-time
uses search to find related information, then add that to your
prompts for context.


Fine-tuning helps ensure that responses meet your quality
expectations for specific repeatable tasks, without needing to be
prompting expert. It's great for drafting complex legal
agreements, writing technical documentation, authoring medical
papers, and more - using detailed, often lengthy precedent files
along with what you teach the model.


Using Copilot Studio, anyone can create and deploy these
fine-tuned models to use with agents without data science or
coding expertise. There, you can teach models using data
labeling, ground them in your organization’s content - while
keeping the information in-place and maintaining data security
and access policies. The information contained in the
task-specific models that you create stay private to your team
and organization. Task-specific models and related information
are only accessible to the people and departments you specify -
and information is not merged into shared large language models
or used for model training.


Jeremy Chapman, Director on the Microsoft 365 product team, shows
how this simple, zero-code approach helps the agents you build
write and reason like your experts—delivering high-quality,
detailed responses.


  QUICK LINKS:


00:00 - Fine-tune Copilot


01:21 - Tailor Copilot for specialized tasks


05:12 - How it works


05:57 - Create a task-specific model


07:43 - Data labeling


08:59 - Build agents that use your fine-tuned model


11:42 - Wrap up


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