Fine-Tuning Foundation Models for Document Classification with Azure ML - LLama2

Learn how to fine-tune a Large Language Model (LLM) for document classification using the Python SDK of Azure Machine Learning Studio. Explore the process of adapting models like Llama2, Mistral, or any other compatible model from the ML model repository for text classification tasks. Follow along with a 53-minute tutorial that demonstrates the practical implementation of fine-tuning techniques, providing you with hands-on experience in leveraging Azure ML's capabilities for advanced natural language processing. Access the accompanying code on GitHub to further enhance your understanding and apply these concepts to your own projects.