Infinite Context Window?!

Author(s): Louis-François Bouchard

Originally published on Towards AI.

Infini-Attention paper explained

Originally published on louisbouchard.ai, read it 2 days before on my blog!

Context window. These two words might have been the most sought-after and anticipated in large language model research papers and announcements by OpenAI, Anthropic, or Google. Well, thanks to Google’s most recent paper called Infini-attention, context windows are no longer a problem. Let’s see how they accomplished this. But first, we also need some “context” to understand what they did.

Infini-attention paper image.

Context window is a fancy way of saying how many words you can send to an LLM simultaneously. The bigger window you can have, the more words you can send, the more context it can grasp and thus, the better the understanding of your question will be to give an appropriate answer.

We want to send the model as much information as possible and let it figure out how best to meet our needs. The problem is that the language models’ performances dramatically decrease along with the context increases. Oftentimes, the more words it sees, the worse the results. If you give GPT-4 a book page and ask a question about a character you know is present on the page, it will answer perfectly. But if you give it… Read the full blog for free on Medium.

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Published via Towards AI