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This “severe” bias must be addressed before these language models become ingrained in real-world tasks.
This “severe” bias must be addressed before these language models become ingrained in real-world tasks.
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Zero-Shot Learning is the ability of an AI model to perform tasks or recognize categories it has never been explicitly trained on, using only its general knowledge and understanding. For example, a language model might translate between languages it hasn't seen paired together during training, or classify images of objects it has never encountered by understanding descriptions of them. This capability emerges in large-scale models that learn broad patterns and relationships, allowing them to generalize to new situations without requiring specific examples for every possible task.
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Explore Similar Terms:
Few-Shot Learning | Transfer Learning | Unsupervised Learning
This “severe” bias must be addressed before these language models become ingrained in real-world tasks.
This “severe” bias must be addressed before these language models become ingrained in real-world tasks.