Zainuddin Saiyed
I am a passionate data and technology enthusiast currently pursuing Masters in Applied Computer Science at Dalhousie University, set to graduate in around three months. My primary interests are in the field of AI/ML and cloud computing. Over the years working in industry, I have gained experience working in computer vision, data analysis, visualization, and database management. From computer vision to now Generative AI, I have found that learning and building features using LLMs is not only more impactful but also more useful.
I believe in practical hands-on learning experiences while also learning the best practices. So, by my role as a teaching assistant at Dalhousie, I guide students in cloud computing, software development, and databases. Also, I enjoy developing working demos and projects to further enhance my skills and build usable applications.
Session
As businesses are gaining adoption of Large Language Models (LLMs), deploying these systems in production gives rise to a unique set of challenges. In this talk we will dive into the details of LLM deployment, highlighting key issues such as scalability, fine-tuning for specific tasks, and resource utilization. We will also explore LLMOps, a strategic approach for managing the lifecycle of LLMs (LLMOps is MLOps but for LLMs) to ensure efficient development, deployment, and maintenance of models in production. We will also be comparing it with traditional CI/CD practices to have a easy understanding on how to effectively manage LLM operations. The talk will conclude with general tips and takeaways for businesses to keep in mind when starting with LLMs and key concerns to be mindful of when optimizing LLM performance in their applications.