Join Us for the Fine-tune DeepSeek-R1 Webinar 🚀

Get ready for an exciting hands-on learning session on Fine-tuning DeepSeek-R1, taking place on October 1st, from 8:00 PM to 9:30 PM (GMT+2). This webinar, led by Jean-Pierre Fakhry, the Lead AI Engineer at ZAKA, will guide you through fine-tuning a state-of-the-art 1.5B parameter language model using LoRA techniques.

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.

Event Highlights:

✅ Learn how to fine-tune a large language model using LoRA techniques
✅ Step-by-step guide on setting up Colab and preparing your dataset
✅ Evaluate model performance and discuss deployment strategies
✅ Interactive Q&A segment for participant engagement

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