By Red-Hat-AI-Innovation-Team

Generate synthetic data using sdghub with composable blocks and YAML flows.

Red-Hat-AI-Innovation-Team/sdg_hub

A skill your agent uses when the user wants to set up LLM training for the first time, or when traininghub is not yet installed/configured in the current environment.

Red-Hat-AI-Innovation-Team/training_hub

A skill your agent uses when the user wants to set up synthetic data generation for the first time, or when sdghub is not yet installed/configured in the current environment.

Red-Hat-AI-Innovation-Team/sdg_hub

Guides users through LLM post-training with Training Hub, including installation, algorithm selection (SFT, OSFT, LoRA), hyperparameter tuning, troubleshooting OOM errors, interpreting loss curves…

Red-Hat-AI-Innovation-Team/training_hub

A skill your agent uses when the user wants to run synthetic data generation via scripts — detect environment, execute a flow, and present results.

Red-Hat-AI-Innovation-Team/sdg_hub

A skill your agent uses when the user wants to estimate GPU memory (VRAM) requirements for a training configuration, check if a model will fit on their GPUs, or plan GPU allocation for training.

Red-Hat-AI-Innovation-Team/training_hub

A skill your agent uses when the user wants to list, search, or inspect available SDG flows and data generation pipelines.

Red-Hat-AI-Innovation-Team/sdg_hub

A skill your agent uses when the user wants to run a training job using a saved configuration.

Red-Hat-AI-Innovation-Team/training_hub