---
schema_version: "1"
id: 95880794ee90c221e67ec104a84462b2862c650747525440ad06bb0a5af882b5
title: Monitor Model Activity
collection: admin
version: current
locale: en-us
portal_url: https://docs.salesforce.com/admin/current/en-us/data/264-0-0/c360_a_ai_foundation_models_configured_monitor.md
canonical_url: https://help.salesforce.com/s/articleView?id=data.c360_a_ai_foundation_models_configured_monitor.htm&release=264.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
content_hash: 6e5837f3a8ef59d0b4f8edbfe2ecff2638d1d6a1a9244a461442f38928c2f688
description: View your model inference use and errors in a dashboard. Use important indicators to help you track, adjust, and improve model performance.
products:
  - Data 360
release: "264"
---
# Monitor Model Activity

View your model inference use and errors in a dashboard. Use important indicators to help you track, adjust, and improve model performance.

To monitor the performance of a model that you configured, go to AI Models (formerly Einstein Studio) Model Home. Select the model and refer to the Model Activity tab.

## Inferences

A foundation model is pretrained on large datasets, but it also learns from prompts during inference when generating human-like text or performing specific language-related tasks. It’s important to adapt your model and fine-tune hyperparameters for domain-specific requirements. When doing so, factor in model efficiency, deployment infrastructure, and ethical implications.

The model activity provides a snapshot of total inferences from all configured models that you used in a specific period.

## Errors

Errors can occur during the operation and deployment of the model. The errors can impact the performance, reliability, and security of an LLM in real-world applications. Common issues include inaccurate or biased responses, latency, and scalability issues.