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README.md
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@@ -206,7 +206,7 @@ The basic idea of this activity is to use a blank slate card, typically with som
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While dry in actual practice, if you want to be the most accurate with your cases, then you should have your settings/samplers turned off or at extremely low to ensure the model doesn't hallucinate too much about any given scenario. If using any settings besides 0, then you should probably swipe a few times to see if the info remains consistent. This goes for both asking the bot about its information, and testing creative models as well, since you might get lucky the first time around.
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As an aside from the last point, I've found some model creators/reviewers can be misleading when it comes to marketing their own material. Saying the model can do X scenario, but is inconsistent in actual practice. Benchmaxing leaderboards is one field some users have had an issue with, but this extends outside that scope as well, such as saying their model captures the character or writes the scene out very well, but instead personally finding out later that these are most likely cherry picked examples through the use of many swipes. And my preference in determining a model's quality is both creativity AND consistency. It's a shame that a scientific field like LLMs have been infested with grifters wanting to make a name for themselves to farm upvotes/likes, uninformed prompters willfully spreading misinformation because of their own ego, or just those trying to get easy Ko-Fi donations through their unskilled work. But it is what it is I suppose... Now, enough of my personal displeasures
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### 4-2 What should I ask my bot specifically when it comes to its knowledge?
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While dry in actual practice, if you want to be the most accurate with your cases, then you should have your settings/samplers turned off or at extremely low to ensure the model doesn't hallucinate too much about any given scenario. If using any settings besides 0, then you should probably swipe a few times to see if the info remains consistent. This goes for both asking the bot about its information, and testing creative models as well, since you might get lucky the first time around.
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As an aside from the last point, I've found some model creators/reviewers can be misleading when it comes to marketing their own material. Saying the model can do X scenario, but is inconsistent in actual practice. Benchmaxing leaderboards is one field some users have had an issue with, but this extends outside that scope as well, such as saying their model captures the character or writes the scene out very well, but instead personally finding out later that these are most likely cherry picked examples through the use of many swipes. And my preference in determining a model's quality is both creativity AND consistency. It's a shame that a scientific field like LLMs have been infested with grifters wanting to make a name for themselves to farm upvotes/likes, uninformed prompters willfully spreading misinformation because of their own ego, or just those trying to get easy Ko-Fi donations through their unskilled work. But it is what it is I suppose... Now, enough of my personal displeasures - let us get back on track with things to consider before you engage with your model.
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### 4-2 What should I ask my bot specifically when it comes to its knowledge?
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