E.g. to test context I asked it "what is EtF"? There is no such acronym in the paper, but they mention English-to-French and that was the answer.
So how do you use GPT-3 for that? Do I understand correctly that the papers are to big to fit into its input window but you need to still take it as a whole into consideration? Is part of creating such service engineering some input prompt which is concatenated with what user writes? Using the playground I always found the input window size to be a huge limitation.
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It's amazing how well it works.
E.g. to test context I asked it "what is EtF"? There is no such acronym in the paper, but they mention English-to-French and that was the answer.
So how do you use GPT-3 for that? Do I understand correctly that the papers are to big to fit into its input window but you need to still take it as a whole into consideration? Is part of creating such service engineering some input prompt which is concatenated with what user writes? Using the playground I always found the input window size to be a huge limitation.