Construct · 1 fields · 1 citations

in-context learning: a standalone construct

One name. One construct. A landmark on the map.

● anchor · a standalone construct Nearest construct by meaning·not indexed
in-contextlearning1 CONSTRUCTIn-context learningBROWN · NATURAL LANGUAGE

A single standalone construct; nearby constructs are located against it in the Collider. Tap a field for its definition, unit, and measures.

Natural language processing

a pretrained language model performs a new task from instructions or a few examples placed in its prompt, with no update to its weights.

In natural language processing, in-context learning refers to a pretrained language model performs a new task from instructions or a few examples placed in its prompt, with no update to its weights. This meaning comes from Brown (2020) in arXiv.[1]

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Nearby constructs

induction heads1 fields · 1 citationsanchor · a standalone constructlearning6 fields · 14 citationsjingle · one name, six constructsmajority label bias1 fields · 1 citationsanchor · a standalone construct

References

  1. Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., Agarwal, S., Herbert-Voss, A., Krueger, G., Henighan, T., Child, R., Ramesh, A., Ziegler, D. M., Wu, J., Winter, C., Hesse, C., Chen, M., Sigler, E., Litwin, M., Gray, S., Chess, B., Clark, J., Berner, C., McCandlish, S., Radford, A., Sutskever, I., & Amodei, D. (2020). Language Models are Few-Shot Learners. arXiv. https://doi.org/10.48550/arxiv.2005.14165

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