Abstract This talk examines the safety protocols for frontier models to ensure the safe, secure, and governed adoption of Gen AI, utilizing the Gemini 3 Pro Frontier Safety Framework report as a primary case study. We will explore risk assessments across critical domains—including CBRN, …
Abstract Demystifies how Mamba models efficiently handle extremely long sequences while outperforming Transformers in speed, scalability, and memory usage. We break down the core ideas behind selective state-space models, why they excel where attention struggles, and what this shift means for the …
Abstract Human cognition relies on specialized brain networks for language, logic, and social reasoning. Inspired by this organization, we introduce Mixture of Cognitive Reasoners (MiCRo) — a modular transformer that develops brain-like specialization across experts. Each expert aligns with a …
Abstract Overview of open-source tools and datasets developed for Arabic morphology analysis, Arabic dialects, lexicographic databases, named entity recognition, relation and event extraction, word sense disambiguation, semantic analysis, synonym generation, hate speech detection, LLM instruction …
Abstract Large Language Models (LLMs) have revolutionized natural language processing, but they face challenges with hallucination and outdated knowledge. This introductory talk explores Retrieval-Augmented Generation (RAG) as a solution that combines the reasoning capabilities of LLMs with …
