Daytona Developers Club Tour '25, Casablanca

​Event Topic
AI in Action 🤖: Transforming work, learning, and innovation in Morocco 🇲🇦

​​​Entrance: free with RSVP

​​​Agenda:

• ​​1:45 pm – 2:00 pm – Check-in

• ​2:00 pm – 2:15 pm – Welcome (Sanaa Harmach)

​​A short hello and introduction

• ​2:15 pm – 2:25 pm – Surprise Guest Intro (Hafsa El Idrissi)

​Introducing our guest speaker

• ​​​2:25 pm – 2:50 pm - Agents, but with AI (Oumayma Essarhi)

​​In this talk, Oumayma will take us on a journey into the world of AI agents. We'll explore what they are, how they work, and how developers can leverage them for automation and problem-solving. She'll also showcase a demo using AI agents to bring these concepts to life.

• ​​​2:55 pm – 3:10 pm - Eliminating the "Runs On My Machine" Problem (Ivan Burazin)

​As a developer, novice or skilled, setting up your environment and dependencies is a common problem. More often than not, you run into the "runs on my machine" issue. Rid yourself of this problem once and for all and focus on what you do best - code.

• ​3:15 pm – 3:40 pm - AI's XR Playground in Training the Next Tech Innovators (Houda Mouttalib)

​Discover how AI and Extended Reality create powerful virtual training environments that shape Morocco's future tech innovators. This talk showcases real examples of how these technologies are revolutionizing skill development beyond traditional methods, preparing our next generation of tech talent.

• ​3:40 pm – 3:50 pm - Break

• ​3:55 pm - 4:30 pm - The rise of reinforcement learning for LLM optimization (Ayoub Benachour)

​We will look at the life-changing role of reinforcement learning (RL) in the optimization of Large Language Models (LLMs). We will go deeper into how RL techniques lie behind LLM performance, while we will be looking at improved finetuning, efficiency of the model, and finally, customized output. Thus, the presentation will serve as a learning example which will show how specific changes in this area can be implemented. For this purpose, we will conduct a session that will constitute specific examples and a series of case studies, thereby our focus will be on the main achievements and the difficulties that arise during the RL/LMM architecture integration. Consequently, traditional RL models are being phased out in favor of new forms of models that should support the next step in the era of natural language processing and AI model optimization.

• ​​4:30 pm – 5:00 pm – Group Picture & Networking w/ Everyone

​​Relax, enjoy, and meet some people.