Welcome to ValidMind Training
Gain hands-on experience and explore what ValidMind has to offer with our training environment.
The training environment mimics a production environment and includes comprehensive resources such as notebooks with sample code you can run, sample models registered in the model inventory, and draft documentation and validation reports.
Most of our model documentation features are available for you to test in the training environment, including automated model testing & documentation, preparing model validation reports, and large language model (LLM) support.
These features provide a rich context for testing and evaluation, using models and datasets provided by ValidMind and hosted in our own environment.
Onboarding
Step-by-step instructions:
Get your access credentials from ValidMind.
If you haven’t reached out to us yet, email info@validmind.ai to enquire about access to the training environment.
When you receive your access credentials, make sure you can log in:
- ValidMind Jupyter Hub — https://jupyterhub.validmind.ai/
- ValidMind Platform UI — https://app.prod.validmind.ai
Join a kick-off session with ValidMind to get a free instructor-led hands-on demo.
After we have received your request to try out the training environment, we will contact you to set up a kick-off session.
Try the training environment — Getting started
Do not upload proprietary information — the training environment environment is not to be used for production. If you have questions about testing in the training environment, please provide feedback or ask for help.
Getting started
What you try out first in the training environment depends on your role:
For model developers
For model validators
For administrators
Sample models
Sample models registered in the model inventory include:
- Housing prices prediction model
- Credit risk scorecard model
- Customer churn prediction model
- Interest rate time series forecasting model
- Large language model (LLM) demo application
Please note that we make updates to the models and datasets available in the training environment from time to time to provide you with our latest features.
Sample notebooks
Each interactive notebook includes the sample code needed to automatically document a model:
Notebook | Inventory model |
---|---|
Quickstart for model documentation Gets you started with the basic process of documenting models with ValidMind, from the developer framework to the platform UI. |
[Demo] Customer Churn Model |
ValidMind introduction for model developers Learn how the end-to-end documentation process works based on common scenarios you encounter in model development settings. |
[Demo] Customer Churn Model |
Document an application scorecard model Guides you through building and documenting an application scorecard model using the Lending Club sample dataset from Kaggle. |
[Demo] Credit Risk Model |
Prompt validation for large language models (LLMs) Run and document prompt validation tests for a large language model (LLM) specialized in sentiment analysis for financial news. |
[Demo] Foundation Model - Text Sentiment Analysis |
Provide feedback or get help
Join our Slack community
Have feedback or questions?
- We sponsor a Slack community where you can provide feedback or ask questions — Join Our Community Slack.
- There is a dedicated channel for support — #community-support.
Our growing Slack community is not just for our products but also aims to foster discussions between AI risk practitioners and those involved in model risk management (MRM). Feel free to take a look around the other channels that are available and stay a while.
Get support
To get help from a human, send an email to support@validmind.ai.