Training and Evaluating LLaMA2 Models with Argo Workflows and Hera

Discover a comprehensive guide for training and evaluating LLaMA2 models using cloud-native tools in this informative conference talk. Learn how to leverage Argo Workflows with the Hera Python SDK for Workflows to set up the necessary software stack, clean and preprocess data using a public dataset, and perform model training utilizing cloud-native resources. Explore effective evaluation techniques to assess model performance. Gain hands-on experience with Argo Workflows and the Hera SDK, empowering you to adapt these methodologies to your specific use cases. Walk away with the confidence to train and evaluate LLaMA2 models, harnessing the full potential of cloud-native scalability.