Future of Reasoning
Yasaman and Sameer delve into the limitations of large language models in terms of mathematical reasoning and the need for systems that can reason. They discuss the impact of model size and parameters on reasoning capabilities and ponder on the necessity of more interpretable and rule-following models for effective reasoning.In this clip
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Machine Learning Street Talk (MLST)
#73 - YASAMAN RAZEGHI & Prof. SAMEER SINGH - NLP benchmarks
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