Symbolic vs. Deep Learning
Tim discusses the importance of symbolic approaches in AI, contrasting them with the prevalent deep learning models. Gary highlights the limitations of GPT-3 in common sense reasoning, shedding light on the need for a balance between symbolic knowledge and perceptual data.In this clip
From this podcast
Machine Learning Street Talk (MLST)
#54 Gary Marcus and Luis Lamb - Neurosymbolic models
Related Questions