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Salesforce

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Salesforce - Einstein Vision and Einstein Language

Salesforce API provides a wide range of operations for managing datasets, models, examples, and training processes. Users can retrieve prediction usage, list datasets, upload datasets asynchronously or synchronously, delete datasets, get specific datasets, examples, trained models, model metrics, and learning curves. Additionally, users can update datasets with new examples, get status on dataset or model deletion, retrieve examples by label, provide feedback, get sentiment or intent predictions, delete models, retrain datasets, generate OAuth tokens, revoke refresh tokens, and check training progress. The API supports various file formats for dataset creation and example uploads, as well as specific operations for image and OCR models.

API Management

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Empower your data analysis process with predictive usage insights. Easily track and forecast monthly API usage trends to optimize resource allocation and enhance decision-making.

Use cases

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Unlock Predictive Insights for Data Analysis

Chat examples

Can you forecast our API usage for the upcoming months?
Based on historical data and current trends, I predict an increase in API usage for the next quarter. This insight can help you allocate resources effectively and optimize performance.

Simplify dataset management tasks with automated processes. Instantly create, update, and delete datasets, labels, and examples from various file formats to streamline your data science workflow.

Use cases

Chat examples

Can you create a dataset from this CSV file and update it with new examples?
I've successfully created the dataset from the CSV file and added the new examples. Your dataset is now updated and ready for analysis. What's the next step in your data science project?

Transforming user intents to actions with a genie touch