During this 1.5-hour session, you’ll dive deep into the practical aspects of fine-tuning the DeepSeek R1 model, including setting up your Colab environment, loading and preprocessing datasets, and splitting data. We will also cover how to monitor performance metrics throughout the training process, evaluate the model’s predictions on unseen data, and explore deployment strategies for real-world applications. The session will wrap up with a Q&A segment, where you can ask questions and share your insights.

Who should attend:

• Data Scientists and Machine Learning Engineers looking to enhance their understanding of large language models and model fine-tuning
• Students and Educators in AI/ML courses who want to gain hands-on experience
• Developers aiming to strengthen their skills in model fine-tuning and deployment

What you’ll need:

• A basic understanding of Python and machine learning concepts
• A laptop to follow along and practice during the session