An overview of where NLP research has concentrated its efforts and what happens when you try to apply standard methods outside that regime. Covers data constraints, transfer learning approaches, evaluation challenges, and why low-resource settings matter for understanding language models more generally

An overview of where NLP research has concentrated its efforts and what happens when you try to apply standard methods outside that regime. Covers data constraints, transfer learning approaches, evaluation challenges, and why low-resource settings matter for understanding language models more generally

An overview of where NLP research has concentrated its efforts and what happens when you try to apply standard methods outside that regime. Covers data constraints, transfer learning approaches, evaluation challenges, and why low-resource settings matter for understanding language models more generally

The Long Tail Problem

AI on Call is a podcast that explores how machine learning, natural language processing, and language technology are transforming human communication and language preservation. It explores the real-world impact of speech recognition and translation tools in high-stakes environments like hospitals. With occasional guest experts, each episode examines how AI is bridging linguistic gaps and redefining how we understand, speak, and connect.

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AI on Call

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FAQs about AI on Call:

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