Beginner Platform Tutorials

The following tutorials are for data scientists and AI application developers to explore the end-to-end capabilities of the NeMo microservices platform. The tutorials demonstrate how to set up a complete data flywheel by using NeMo microservices to customize and evaluate large language models (LLMs) and add safety checks.

Note

Before you begin, complete Developer Setup Using Minikube.

Deploy a NIM microservice

Learn how to deploy a NIM microservice through the NeMo Deployment Management API.

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Deploy LLMs as NIM Microservices

Design Synthetic Data

Learn how to generate synthetic data from scratch or seeds using NeMo Data Designer.

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NeMo Data Designer Tutorials

Customize and Evaluate LLMs

Learn how to customize and evaluate the llama-3.1-8b-instruct model using NeMo Customizer and NeMo Evaluator.

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Customize and Evaluate Large Language Models

Add Safety Checks to LLMs

Learn how to add safety checks to the llama-3.1-8b-instruct model using NeMo Guardrails.

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Insert a Content Safety Check Using NeMo Guardrails

End-to-End Llama Stack Workflow

Learn how to customize, evaluate, and add safety checks using the Llama Stack.

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Use Llama Stack API