LLM & Applications | Canadian AI Conferen

LLM & Applications Workshop at the Canadian AI Conference

Large Language Models (LLMs) are transforming AI with their powerful natural language processing capabilities. This workshop provides a platform to explore the latest advancements, applications, and challenges in LLMs while fostering collaboration between researchers, practitioners, and students.

Key objectives include:

Showcasing novel applications in healthcare, personal assistants, information extraction, among others.
Addressing challenges in fine-tuning, alignment, scalability, and efficient inference.
Providing hands-on tutorials for students and newcomers.

Topics of Interest

LLMs, Prompt Engineering, Fine-Tuning
Efficient Architectures, LLM-based Agents, Multi-Modal Models
Real-Time Inference, AI Safety, Evaluation Techniques

Keynote Speakers

To be announced soon!

Organizers

Najeeb Khan, Ph.D. – Applied Scientist, Amazon
Farhad Maleki, Ph.D. – Assistant Professor, University of Calgary
Alireza Morsali, Ph.D. – Senior Data Scientist, Global Relay

Call for Participation

We invite researchers, practitioners, and students to submit papers (up to 6 pages) on topics such as:

Novel LLM Applications (personal assistants, healthcare, etc.)
Prompt Engineering Techniques
Fine-Tuning & Alignment Strategies
Efficient Architectures & Optimization
Evaluation Methods for Practical Use Cases

🔗 Paper Submission Form

Workshop Highlights

Keynote Talks – Presentations by leading experts in LLM research.
Paper Presentations – Showcase of innovative research & applications.
Hands-on Tutorials – Practical sessions covering:

Advanced Prompting Techniques & RAG
Alignment & Fine-Tuning Strategies
LLM Evaluation Methods
Efficient Inference Techniques

Important Dates

Paper Submission Deadline: May 1, 2025 AoE
Notification of Acceptance: May 15, 2025
Workshop Date: May 26, 2025