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You create a training job to fine-tune a base large language model on a dataset you approved. NexusOne starts the training right away and registers the result in MLflow.

Prerequisites

Before starting this task, ensure you have the following:
  • Required roles: nx1_finetune_admin, nx1_finetune_user, or nx1_engineer.
  • A previously created dataset with the complete status.
  • A base model that your platform team has made available for training.

Create a training job

Perform these steps to create a training job:
  1. Log in to NexusOne.
  2. On the top navigation bar, hover your mouse over AI and then select AutoML & AutoLLM.
  3. Click Fine-tune LLMs (AutoLLM).
  4. Click Datasets.
  5. Select the dataset with the complete status.
  6. Click Start training. NexusOne starts a training job right away, using the QLoRA adapter type.
You can also start training automatically when you approve a dataset. To do so, turn on Start training automatically after approval before you click Approve.

Additional resources

For a high-level overview of training jobs and how they’re used in NexusOne, refer to Fine-tune LLM.