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The paper proposes the In-context Autoencoder (ICAE) for context compression in a large language model (LLM). The ICAE can effectively produce memory slots with 4x context compression, which can be well conditioned on by the target LLM for various purposes.
https://arxiv.org/abs//2307.06945
YouTube: https://www.youtube.com/@ArxivPapers
PODCASTS:
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
By Igor Melnyk5
33 ratings
The paper proposes the In-context Autoencoder (ICAE) for context compression in a large language model (LLM). The ICAE can effectively produce memory slots with 4x context compression, which can be well conditioned on by the target LLM for various purposes.
https://arxiv.org/abs//2307.06945
YouTube: https://www.youtube.com/@ArxivPapers
PODCASTS:
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

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