The context window doubling, in this case, that's a huge deal for us. And actually, I couldn't even use Vecunya because Vecunya was based on llama one and llama one was not commercial commercial realizable. So all these different kinds of technical considerations come into play when you're building an AI system. It is like we compare side by side in a Vecunya like way. They do this, they have GPT four rate on a scale out of 10, the outputs on specific benchmark tasks. We also use it to compare how to evaluate how our model is performing over training.

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