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Found: Getting realistic about AI’s potential with Nick Frosst from Cohere
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Master Language Before Specialization
Language exhibits a remarkable diversity that necessitates a deep foundational understanding before specialization can occur. Unlike simpler recognition tasks, such as identifying cats, language processing requires a broader knowledge base due to the variability in expression and structure. Traditional methods relied on heuristics and specific parsing rules, but they often fell short due to the complexity inherent in language variation, even within focused contexts like quarterly earnings reports. The education process for humans mirrors this, beginning with general language skills in early schooling before narrowing down into specialized fields. Similarly, neural networks must first grasp the fundamentals of language before effectively handling specialized tasks.
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