Reasoning in LLMs
The conversation delves into the nature of reasoning in large language models, highlighting that while rudimentary reasoning is emerging, it differs from human-like reasoning. The practical applications of LLMs vary significantly depending on the context, especially in business settings, where basic reasoning suffices. The importance of human oversight in the creative process is emphasized, showcasing the collaborative potential of technology and human intelligence.In this clip
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Machine Learning Street Talk (MLST)
Cohere's SVP Technology - Saurabh Baji
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