How To Scale Transformers’ Memory up to 262K Tokens With a Minor Change?

Author(s): Reza Yazdanfar

Originally published on Towards AI.

Extending Transformers by memorizing up to 262K tokens

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This article is a fabulous attempt to leverage language models in memorizing information by transformers with the least required effort. The point is that we can use it for available pre-trained models.

3 important questions you should know:What is the issue? What is the solution? What is the result?

We all have heard a lot about language models lately, but we usually use pre-trained [large] models and then fine-tune them; if not, we should train models on large datasets for better generalization. The retraining and fine-tuning cause modifying weights in the… Read the full blog for free on Medium.

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Published via Towards AI