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Cryptocurrency News Video
[QA] Scaling Retrieval-Based Language Models with a Trillion-Token Datastore
Jul 20, 2024 at 08:02 am Arxiv Papers
This paper explores how increasing datastore size enhances retrieval-based language models' performance, demonstrating that smaller models with large datastores outperform larger models in knowledge-intensive tasks.
https://arxiv.org/abs//2407.12854
YouTube: https://www.youtube.com/@ArxivPapers
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