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Learn to enhance large language model capabilities through NVIDIA's NeMo-Skills framework in this 18-minute tutorial. Discover how to build powerful training and inference pipelines that seamlessly switch between frameworks and scale from local prototyping to massive Slurm-based experiments with minimal configuration changes. Master running LLM inference, converting checkpoints, training and evaluating models while iterating quickly from data generation through model training to evaluation. Explore connecting multiple pipeline stages into unified scripts for streamlined workflows. Gain insights from NVIDIA's team that won the AI Mathematical Olympiad's latest Kaggle competition using these techniques, and understand how NeMo-Skills accelerates experimentation and development whether you're scaling up operations or just beginning your journey with large language models.
