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Add synthetic data generation tutorials with NeMo Data Designer #334

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18 changes: 18 additions & 0 deletions README.md
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Expand Up @@ -27,6 +27,8 @@ This repository is a starting point for developers looking to integrate with the
* [RAG Examples](#rag-examples)
* [RAG Tools](#rag-tools)
* [RAG Projects](#rag-projects)
* [Synthetic Data Generation](#synthetic-data-generation)
* [NeMo Data Designer Notebooks](#nemo-data-designer-notebooks)
* [Documentation](#documentation)
* [Getting Started](#getting-started)
* [How To's](#how-tos)
Expand All @@ -44,6 +46,12 @@ These tutorials demonstrate Data Flywheel workflows that use NVIDIA NeMo Microse
- [Tool Calling Fine-tuning, Inference, Evaluation, and Guardrailing with NVIDIA NeMo Microservices and NIMs](./nemo/data-flywheel/tool-calling)
- [Embedding Fine-tuning, Inference, and Evaluation with NVIDIA NeMo Microservices and NIMs](./nemo/data-flywheel/embedding-finetuning/)

### Synthetic Data Generation

Generate high-quality synthetic datasets with NVIDIA NeMo Data Designer microservice using agentic workflows for training and fine-tuning.

- [NeMo Data Designer 101: Getting Started with Synthetic Data Generation](./nemo/NeMo-Data-Designer/intro-tutorials/)

### Safer Agentic AI

The following tutorials illustrate how to audit your large language models with NeMo Auditor to identify vulnerabilities to unsafe prompts, and how to run inference with multiple rails in parallel to reduce latency and improve throughput.
Expand Down Expand Up @@ -185,6 +193,16 @@ Example tools and tutorials to enhance LLM development and productivity when usi
- [NVIDIA Tokkio LLM-RAG](https://docs.nvidia.com/ace/latest/workflows/tokkio/text/Tokkio_LLM_RAG_Bot.html): Use Tokkio to add avatar animation for RAG responses.
- [Hybrid RAG Project on AI Workbench](https://github.com/NVIDIA/workbench-example-hybrid-rag): Run an NVIDIA AI Workbench example project for RAG.

## Synthetic Data Generation

### NeMo Data Designer Notebooks

These notebooks demonstrate how to generate synthetic datasets using NVIDIA NeMo Data Designer microservice with agentic generation combining LLMs, samplers, and structured outputs.

- [The Basics](./nemo/NeMo-Data-Designer/intro-tutorials/1-the-basics.ipynb) - Core concepts with product review dataset generation
- [Structured Outputs and Jinja Expressions](./nemo/NeMo-Data-Designer/intro-tutorials/2-structured-outputs-and-jinja-expressions.ipynb) - Advanced schemas and templating
- [Seeding with External Datasets](./nemo/NeMo-Data-Designer/intro-tutorials/3-seeding-with-a-dataset.ipynb) - Bootstrap generation with existing data

## Documentation

### Getting Started
Expand Down