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# Ilya’s List, Part 14: Pointer Networks

**[Medium](https://daily.dev/sources/medium_js)** · 2 min read · 1 upvotes · 0 comments

## Summary

A brief, informal explanation of pointer networks — a neural network architecture where the output is a position index pointing to one of the input tokens rather than a freely generated token. This constrains outputs to words present in the input, which limits hallucination. The post is part of a series covering Ilya Sutskever's 30 foundational AI papers.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://medium.com/ilya-sutskevers-30-foundational-papers-of-ai/ilyas-list-part-14-pointer-networks-3d4d1df747df>

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Tags: [#llm](https://daily.dev/tags/llm), [#nlp](https://daily.dev/tags/nlp), [#neural-networks](https://daily.dev/tags/neural-networks)

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