Jupyter Notebooks

Get started with the NeMo microservices platform by following the Jupyter notebooks below.

• Data Flywheel and Tool Calling for LLM Models

  Demonstrates how to use the NeMo Microservices platform to customize a Llama 3.2 1B Instruct model with the xLAM function-calling dataset, evaluate its accuracy, and ensure the customized model behavior is secure.

• Fine-tuning and Evaluating Embedding Models

  Demonstrates how to use the NeMo Microservices platform to fine-tune an nvidia/llama-3.2-nv-embedqa-1b-v2 embedding model using the SPECTER dataset, followed by an evaluation of its accuracy on the zero-shot BeIR Scidocs benchmark.