The MetaGPT neural network from Pico was created specifically for developing web applications for user requests. I found that ChatGPT was adapted to the information that was sent to this site. As a result, the output is quite complex, functional and efficient applications for the browser, and this impression is not deceptive.
MetaGPT is translated as “large language models”, written by a good interpreter, translated with strokes of a technical task. It is enough to describe in a general way what the future application should do, specify the formats of the input data and the output result, and also set wishes for the design. The most interesting thing is that MetaGPT allows you to make corrections to the created applications if the user did not take something.
A side effect of MetaGPT is that recommendations exacerbate the problem – the neural network is unable to analyze its work, calculate successful solutions and gradually add new ones to them. The more difficult the original task, the higher the risk instead of getting the app weird. Another downside is that, like all GPT systems, MetaGPT tailors the result to the query, not removes the softness of the field. The output is an application that either works or it doesn’t, or a number of users have no way to understand what the error is.
However, with the help of MetaGPT, it is possible to do this, this is the case, that’s where the problems are. And this is the biggest problem, due to the fact that I have a lot of interest in new projects AND smooth skin implementations, I see that they all have a smooth “steal” neural network.
Source: Tech Cult
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