Proposal

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I have used many AI models, some are fast, some are consistent, some are very good, some make long texts others explain well. I have come to my own conclusion that if there was a model mixed between zephyr beta which is fast but too academic and often disobedient and the Utopia 13B model which has a truly humanised language at its best, manages to make descriptions with a unique atmosphere, we would probably have rayunto a high level

30,000 AI models

too many really. But from what I read in conversations and posts I notice one thing: you all try out Model all the time and that's fine, but I haven't yet read that anyone habitually uses one Model over others. It seems like you use one template for a few days and then start with a new one. Don't have your favorite? Which?

Dear friends,

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I decided to write because many are active on HuggieFace with their AI models.

I have been continuously testing AI Models 8/10 hours a day for a year now. And when I say that I test the models, I don't mean like many do on YouTube to get likes, with type tests. Tell me what the capital of Australia is or tell me who the tenth president of the United States is. Because these tests depress me as well as making me smile. Already 40 years ago my Commodore Vic 20 answered these questions in BASIC language!

I test models very seriously. Being a history buff, my questions are very oriented towards history, culture, geography, literature. So my tests are to try in every way to extrapolate answers and summaries to the AI ​​models.

Now I note with great sadness that models are trained with a lot of data, but there is not enough focus on ensuring that the algorithm is able to extrapolate the data and return it to the user in a faithful and coherent manner.

Now if we want to use templates just to play with creative invented stories like poetry everything can be fine, but when we get serious Open Source templates to be installed locally seem very insufficient to me.

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Furthermore, I note that the models are never accompanied in an excellent manner by configuration or preset data which the user often has to try to understand by making various calibrations.

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Another issue, the models are always generic, there is no table of models with their actual capabilities.

More guidance would be needed. example This is a model that is good for Medicine, this has been trained with History data etc.

While we find ourselves researching Huggingface in an almost haphazard manner, not to mention total disarray

In Pavero words I want to tell you, since you work hard, you too should ensure that the models, in addition to being filled with data, can then be able to use them and give them to the user.

So let's take a step forward and improve the progress.

Claudio from Italy