Can Smaller Language Models Be Smarter?
from Inside the Black Box: Cracking AI and Deep Learning Hosted by Arshavir Blackwell, PhD
Today we explore whether mechanistic interpretability could hold the key to building leaner, more transparent—and perhaps even smarter—large language models. From knowledge distillation and pruning to low-rank adaptation, we examine cutting-edge strategies to make AI models both smaller and more explainable. Join Arshavir as he breaks down the surprising challenges of making models efficient without sacrificing understanding.
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This episode is 6 minutes long.
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This episode was published on November 19, 2025.
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