The context window paradox: Why bigger might not be better
Associated with
Peter Isaacs Peter Isaacs
5 min read
The context window paradox: Why bigger might not be better

If you've been keeping an eye on large language models (LLMs), you'll have noticed that context windows are getting bigger and bigger. Anthropic is now boasting a whopping 100,000 token window, rivaling GPT-4 and LLaMA at 32,000 tokens. If you're feeding whole reports into your agent or working with lengthy, complex prompts, this sounds like a miracle. Finally, you can give AI every single detail and it'll offer you the most detailed, best responses, right?

Well, a recent study suggests that bigger may not always be better when it comes to context windows. And I've read through the entire 18-page study to pull out the key insights for you-and offer seven ways you can make your documents and prompts easily retrievable for any LLM, no matter the size of the context window.

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