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We rejoice when we see a larger context window model released. It's great but most people don't see the other side of things. Every loaded tool or extended context eats tokens whether you use it or not on that turn. It's what we call "context tax"; essentially you're being taxed (paying more tokens due to larger context windows)The recent announcement from @AnthropicAI on moving to API billing means the ‘context tax’ is now real. If you’re building agents, token-efficient memory architecture is
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Context length has grown in importance for large language models. A longer context length lets you pass more information to the model, effectively giving it a larger working memory. While technically, it's easy to get a model to work on a longer context length, that doesn't translate into good performance. It is also essential to train the model how to use that context length. #largelanguagemodels #aiengineer # #contextlength #openai #anthropic #longchat Background by Sven Mieke: https://unsplas
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