Create Affiné Connexions des modèles

Create Affiné Connexions des modèles by customizing the supported foundational models via testing and fine-tuning to make them available to Pro Developers for connecting to the Compétences en IA they create.

Connect to your instances of the foundational models from hyperscaler vendors such as Amazon Bedrock, Google Vertex AI, Azure OpenAI, or OpenAI and customize their models by fine-tuning them and saving them with a specific name.

The Automation Admin creates and tests the Affiné Connexions des modèles and makes these available to the Pro Developers, who can connect to them when creating Compétences en IA. The Connexions des modèles are used in Compétences en IA to send prompts and receive responses from the models.

The Automation Admin creates custom roles and assigns these Affiné Connexions des modèles to the custom roles that are assigned to users to enable their access to the Connexions des modèles.

This feature gives you the option to create your own custom models based on your specific use case. As these Affiné Connexions des modèles are customized and trained using your data, within your organization's environment, you can govern and monitor their use as per your compliance and governance policies.

Additionally, you can use the Affiné models created with Amazon Bedrock in AWS Services, and Google Vertex AI in Boutique de données Google when creating Affiné Connexions des modèles in Automation Anywhere.

Create Affiné Connexions des modèles

A few things to consider

To use the Affiné Connexions des modèles you would first create them by via tooling provided by the hyperscaler models. These Affiné models are supported out-of-the-box by AI Agent Studio in Automation Anywhere.

Refer to the following information to create your custom, Affiné models for each foundational model:

Amazon Bedrock:
  1. Create your Affiné model in Amazon Bedrock Services. See Fine-tuned models for Amazon Bedrock.
  2. Next, click Custom Models.
  3. Find your Affiné model and select it.
  4. Make a note of the Region where the model is deployed.
  5. Use the Model ARN and Region values procured from Amazon Bedrock to connect to your Affiné model when creating a Connexion du modèle in Automation Anywhere.
Google Vertex AI:
  1. Create a custom model in Google Vertex AI. See How to create Fine-tuned models for Google Vertex AI.
  2. Next, navigate to Vertex AI > Model Garden.
  3. Click View My Endpoints & Models.
  4. You should see the ModelID, and the relevant Region values for your Affiné model.
  5. Procure the ProjectId for this model from the first page after you log into Google Vertex AI. You can also get it from the top left corner after you log in, where it is additionally displayed.
  6. Use the procured ModelID and Region values to connect to your Affiné model when creating a Connexion du modèle in Automation Anywhere.
Azure OpenAI:
  1. To create a custom model in Azure OpenAI, see Customize a model with fine-tuning.
  2. Then create a deployment using this custom model. Make a note of the Model name and Deployment name.
  3. Use the Model name and Deployment name values to connect to your Affiné model when creating a Connexion du modèle in Automation Anywhere.
OpenAI:
  1. Create your Affiné model in OpenAI. See Create a Fine-tuned model with OpenAI.
  2. Procure the Model ID that was generated for the Affiné model.
  3. Use this Model ID value when creating a Connexion du modèle in Automation Anywhere.

Prérequis

The Automation Admin creates the Connexions des modèles and requires these roles and permissions to manage Connexions des modèles for their business organization.
  • Role: AAE_Basic, Automation Admin custom role
  • Permission: Attended Bot Runner
  • Settings: AI Data Management must be enabled by the Automation Admin and the check box selected for Allow users to disable logs on AI Skills. Allow users with the Bot Creator license to disable data logging when using AI Skills.

See Rôles et autorisations pour les Outils AI for the Automation Admin custom role permissions.

Other requirements:
  • You would first create a Affiné Connexion du modèle and save it with a specific name so that you can use it when creating a Connexion du modèle. Refer to the section above to see how to create Affiné Connexions des modèles for each foundational model vendor.
  • If you want to store authentication details in a credential vault, have that information handy. See Magasin d'informations d'identification sécurisé via Credential Vault.
  • To test a Connexion du modèle, you must be connected to a Agent de robot 22.60.10 and later. As part of the test, you would have to run the robot on your desktop. Hence ensure the Agent de robot is configured to your user. For this task, if you have to switch connection to a different Control Room, see: Basculer l'enregistrement de périphérique entre des instances de la Control Room.
  • You need access to the Enregistreur package and the Compétences en IA package to test the connection successfully. A test Invite would be executed to test the Connexion du modèle.

Follow these steps to create a Affiné Connexion du modèle.

Procédure

  1. In your Control Room environment, navigate to AI > Model connections > Create model connection.
  2. In the Create model connection screen you would configure these Connection settings:
    1. Model connection name: Provide a name for easy identification of the Connexion du modèle.
    2. Description (optional): Add a meaningful short description defining the connection.
    3. Choose a vendor: Choose a foundational model vendor from the supported list of vendors such as Amazon Bedrock, Google Vertex AI, Azure OpenAI, or OpenAI.
    4. Choose a type: Choose Affiné from the drop-down list.
    5. Choose a model: Choose a model from the drop-down list. The list displays relevant models as per your vendor selection.
      We recommend not selecting any of the Amazon Anthropic Claude models from the drop-down list. Amazon does not allow fine-tuning any of the Anthropic Claude models, hence this model option should not display in the drop-down list. We will remove the option in our future release.
    6. Fine-tuned model name: Enter the specific name of the Affiné custom model you created earlier.
    7. Click Next to proceed to the Authentication details section.
  3. In the Authentication details section, configure the settings as per values procured from the foundational model services for Amazon Bedrock, Google Vertex AI, Azure OpenAI, or OpenAI.
    Remarque : For details on setting up the Authentication details for each model vendor, see Authentification des connexions des modèles.
  4. Click Test connection to make sure all connection details have been defined correctly and check if the connection is working.
    This is a desktop operation using a Agent de robot. Use Agent de robot 22.60.10 and later for successful testing.
    • If the connection works as expected, the system will process the request and you will get a system generated success message.
    • If the connection does not work as expected, you will get a system-generated message stating the reason for the connection failure. For example, if you have not downloaded the supported foundational model package to your workspace, you would get an error message. You would have to download the package and then retest the Connexion du modèle.
    • If the testing a Connexion du modèle is unsuccessful or if you leave the task incomplete, the Connexion du modèle will not get saved and you will have to restart the process of creating the Connexion du modèle.
  5. Click Next to proceed to the Invite roles section to begin assigning custom roles to users.
    The Automation Admin would create custom roles and assign the Connexions des modèles to the role, which can then be assigned to users. Only users assigned to this custom role can use this Connexion du modèle.
  6. Assign access to the Pro Developer via custom role (using RBAC), for using this Connexion du modèle to create an Compétence en IA.
  7. Click Create model connection to complete creating the Connexion du modèle.
    After successfully creating the Connexion du modèle, the Pro Developer would use it to create an Compétence en IA

    See: Créer Compétences en IA.

Étapes suivantes

After creating and testing the Connexion du modèle, you would assign it to the Pro Developers, who would use this connection to create Compétences en IA.

See Créer Compétences en IA.

Remarque : When you create or test an Compétence en IA in the AI Skill editor, the success or failure details along with the model responses can be viewed in these navigation screens:
  • Administration > AI governance > AI Prompt log
  • Administration > AI governance > Event log
  • Administration > Audit log

See Gouvernance de l\'IA.

As the next step in your sequence of tasks, go to Créer Compétences en IA and create an Compétence en IA and connect to a Affiné Connexion du modèle to eventually use it in an automation.