In this article, we will try to understand why LLMs don’t actually remember anything in the traditional sense, what context windows are, and why they create hard limits on conversation length.
The idea that LLMs don’t truly “remember” but reprocess everything reinforces why it’s so important for teams to choose models with the right context capacity and retrieval mechanisms for their specific workflows. From a leadership perspective, I think this also reminds us that AI is powerful but not magical — it performs best when we understand its constraints and design around them.
In my recent article, I discussed how context windows and accuracy play a crucial role in helping businesses decide which LLM best fits their needs.
Great write up!! The quadratic growth rate was something i wasn't aware of.
Thanks
Such a great read!
The idea that LLMs don’t truly “remember” but reprocess everything reinforces why it’s so important for teams to choose models with the right context capacity and retrieval mechanisms for their specific workflows. From a leadership perspective, I think this also reminds us that AI is powerful but not magical — it performs best when we understand its constraints and design around them.
In my recent article, I discussed how context windows and accuracy play a crucial role in helping businesses decide which LLM best fits their needs.
https://substack.com/@shamimrajani/note/p-176305246?r=1mbhxm&utm_source=notes-share-action&utm_medium=web