4 papers
From Understanding to Creation: A Prerequisite-Free AI Literacy Course with Technical Depth Across Majors
Amarda Shehu
Most AI literacy courses for non-technical undergraduates emphasize conceptual breadth over technical depth. This paper describes UNIV 182, a prerequisite-free course at George Mas…
Can Consumer Chatbots Reason? A Student-Led Field Experiment Embedded in an "AI-for-All" Undergraduate Course
Amarda Shehu, Adonyas Ababu, Asma Akbary +34
Claims about whether large language model (LLM) chatbots "reason" are typically debated using curated benchmarks and laboratory-style evaluation protocols. This paper offers a comp…
Foundation Models for AI-Enabled Biological Design
Asher Moldwin, Amarda Shehu
This paper surveys foundation models for AI-enabled biological design, focusing on recent developments in applying large-scale, self-supervised models to tasks such as protein engi…
Birdie: Advancing State Space Models with Reward-Driven Objectives and Curricula
Sam Blouir, Jimmy T. H. Smith, Antonios Anastasopoulos +1
Efficient state space models (SSMs), such as linear recurrent neural networks and linear attention variants, offer computational advantages over Transformers but struggle with task…