How should the AI Specialist integrate the custom LLM into Salesforce?

An Al Specialist is tasked with configuring a generative model to create personalized sales emails using customer data stored in Salesforce. The AI Specialist has already fine-tuned a large language model (LLM) on the OpenAI platform. Security and data privacy are critical concerns for the client.

How should the AI Specialist integrate the custom LLM into Salesforce?
A . Create an application of the custom LLM and embed it in Sales Cloud via iFrame.
B . Add the fine-tuned LLM in Einstein Studio Model Builder.
C . Enable model endpoint on OpenAl and make callouts to the model to generate emails.

Answer: B

Explanation:

Since security and data privacy are critical, the best option for the AI Specialist is to integrate the fine-tuned LLM (Large Language Model) into Salesforce by adding it to Einstein Studio Model Builder. Einstein Studio allows organizations to bring their own AI models (BYOM), ensuring the model is securely managed within Salesforce’s environment, adhering to data privacy standards.

Option A (embedding via iFrame) is less secure and doesn’t integrate deeply with Salesforce’s data and security models.

Option C (making callouts to OpenAI) raises concerns about data privacy, as sensitive Salesforce data would be sent to an external system.

Einstein Studio provides the most secure and seamless way to integrate custom AI models while maintaining control over data privacy and compliance. More details can be found in Salesforce’s Einstein Studio documentation on integrating external models.

Subscribe
Notify of
guest
0 Comments
Inline Feedbacks
View all comments