Event details
We are in the "Early Access Program" and are looking forward to evaluate the impact of Microsoft 365 Copilot.
Q1 : Differences between EAP and https://www.microsoft.com/de-ch/microsoft-365/roadmap?featureid=124840
Is the Feature Id 124840 coming in Nov. 2023 independently from the EAP and will be released from Nov. 2023 ?
Are the functionalities in the feature 124840 also showcased in the EAP ?
Q2 : Extensibility / Configuration options
- What kind of configuration / extensibility options are available for the Copilot plugins ?
- Will it be possible to create our own Copilot plugins and augment the experience with our own custom data sources ?
- Will it be possible to train the LLM on specific datasets ?
- Same for transformers for custom wordings / meanings
- Ben_Summers
Microsoft
Hi - I can answer Q2. There are two primary ways to extend copilot. First is to build plugins. The second is to build Graph Connectors. Yes, you can create your own Copilot plugins. There are multiple options for creating plugins. You can: Build Teams Message Extensions or Power Platform Connectors (or you can update your existing investments). You can also build/use OpenAI plugins. Fundamentally, a plugin is just a manifest + API, and that API can of course tap into your own custom data sources. You can also create or (or acquire) Microsoft Graph Connectors, which allow you to index additional data sources in the Semantic Index. This will also help Copilot understand things like acronyms used internally, etc. etc. To train an LLM on specific datasets, you'll need to build your own copilot - for example with Azure OpenAI services. - Ben_SummersHi - I can answer Q2. There are two primary ways to extend copilot. First is to build plugins. The second is to build Graph Connectors. Yes, you can create your own Copilot plugins. There are multiple options for creating plugins. You can: Build Teams Message Extensions or Power Platform Connectors (or you can update your existing investments). You can also build/use OpenAI plugins. Fundamentally, a plugin is just a manifest + API, and that API can of course tap into your own custom data sources. You can also create or (or acquire) Microsoft Graph Connectors, which allow you to index additional data sources in the Semantic Index. This will also help Copilot understand things like acronyms used internally, etc. etc. To train an LLM on specific datasets, you'll need to build your own copilot - for example with Azure OpenAI services.
