Create AI Skills with Grounded by data store Model connections
- Zuletzt aktualisiert2024/10/03
Create AI Skills with Grounded by data store Model connections
This is the next logical step after creating a Grounded by data store Model connection. You would create an AI Skill and connect it to a Grounded Model connection from Google Vertex AI.
To use Google Vertex AI Grounded models for On-Premises, document chunking must be disabled in the data store.
In Cloud, the option to use Google Vertex AI Grounded by data store is currently unavailable. With the upcoming patch release, data stores with enabled document chunking will be supported to ensure optimal results in automation executions.
A Pro Developer creates AI Skills so the Bot Creators can use these in their automations to save time and effort.
AI Skills are created by connecting to Model connections the Pro Developer has access to. Next, the AI Skill is fine-tuned by testing the prompts using different grounded models to find the best response that addresses the business ask. These AI Skills are made available to Bot Creators for use to help accelerate the task of creating automations across solutions.
Vorbereitungen
- Role: AAE_Basic, Pro Developer Custom role
- Permission: Bot Creator
See Roles and permissions for AI Tools
Other requirements:
Besides the roles and permissions the Pro Developer must be connected to a Bot Agent 22.60.10 and later. As part of testing the Model connection, you would have to run the bot on your desktop. Hence ensure the Bot Agent is configured to your user. If you have to switch connection to a different Control Room, see: Umschalten der Geräteregistrierung zwischen Control Room-Instanzen.
Prozedur
Nächste Maßnahme
After creating an AI Skill, check it into the Public folder. This will let the Pro Developer, and Citizen Developer use it from the AI Skills package in the production environment.
A Task Bot, with one or multiple embedded AI Skills can be added to a larger automation that would run a complete workflow scenario. You would create such a workflow in a Process Composer.
See AI governance.
As the next step in your sequence of tasks, go to Use AI Skills in a Task Bot and use the AI Skill in an automation.