MLOps: Fine-tuning Mistral 7B with PEFT, QLora, and MLFlow

Learn how to fine-tune the Mistral 7B language model using PEFT (Parameter-Efficient Fine-Tuning) and QLora techniques, integrated with MLflow for efficient experiment tracking and model management. This 28-minute video tutorial demonstrates the process of enhancing a large language model's performance while optimizing computational resources. Explore practical implementation using provided code examples and gain insights into advanced MLOps practices for managing and deploying fine-tuned models effectively.