Big ML integration
Machine Learning made beautifully simple. A company-wide platform that runs in any cloud or on-premises to operationalize Machine Learning in your organization.
What your agents can do with Big ML
5 pre-built Big ML tool steps, ready to drop into any agent. Anything they do not cover, an agent can reach with an authenticated API call.
Actions (3)
Create Source (Remote URL)
Create a source with a provided remote URL that points to the data file that you want BigML to download for you.
Create Model
Create a model based on a given source ID, dataset ID, or model ID.
Create Batch Prediction
Create a batch prediction given a Supervised Model ID and a Dataset ID.
Triggers (2)
New Prediction Made
Emit new event for every made prediction.
New Model Created
Emit new event for every created model.
Set up Big ML in Relevance AI
Do this once. Every agent in your workspace can then use the connection.
Create a Relevance AI account
Sign in, or create a free account. You do not need to be a developer to set this up.
Connect your Big ML account
In Relevance AI, open Integrations and add Big ML, then paste your API key. You will find it in your Big ML account settings.
Use Big ML in an agent
Create a tool, add a Big ML tool step, and connect it to an agent. The agent fills in the step's inputs each time it runs.
Put Big ML to work in your agents
Connect Big ML alongside 1,800+ other integrations and let your agents run the busywork.