*GPT-J is just as good as GPT-3.* It is more efficient, but with more quirks. In our JPRED scores, it did better with simple TCS tasks, but lost with the more complex tasks.
By removing the Jordan Algorithm: Our next proposed change to a probability model is removing the Jordan Algorithm. The Jordan Algorithm is a special procedure used for simple TCS tasks that allows for fast analysis of different sequence pairs, as well as being able to easily analyze simple n-gram (aka word) models.It is more efficient, but with more quirks. In our JPRED scores, it did better with simple TCS tasks, but lost with the more complex tasks.
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Hey hope this is still relevant
I find gpt-j quite alright in the generation but it provides silly results when it does summaries. are there any experts here that could help on how i can maybe train here to provide tl;dr's
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