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YouTube

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

The Machine Learning Engineer via YouTube

Overview

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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.

Syllabus

MlOps Mlflow: Fine tune Mistral 7B ,PEFT , QLora and MLFlow

Taught by

The Machine Learning Engineer

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