December 2025
Training Arabic Language Models: From Data Collection to (PT + SFT + DPO)
This workshop aims to provide an integrated understanding of the stages of building and developing Large Language Models (LLMs), moving from the pre-training phase to model optimization based on human preferences. Participants will explore the full development cycle, starting with Pre-training (PT) to build the model’s foundational knowledge using vast datasets, followed by Supervised Fine-Tuning (SFT) to specialize the model’s behavior through structured instructional data, and concluding with Direct Preference Optimization (DPO), which enhances response quality based on human preferences and the trade-offs between different outputs.
Enhancing Employee Training Plans via the "Doroob"
This workshop aims to empower business owners and training managers to effectively utilize the "Monsha’at" service on the Doroob e-training platform. Participants will learn about its key features, target audience, account creation process, and how to leverage the platform’s tools to develop training plans and enhance the efficiency of their organization's workforce.
From Idea to Product: Developing Actionable AI Solutions
A knowledge-sharing workshop highlighting practical methodologies and real-world expertise in transforming AI concepts into viable products with efficiency and effectiveness.