Improve the accuracy of generator/prompt node/agent #5603
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I want to create an project prototype that can let me ask the system question and the system will give me the answer based on the document i write into document store. The generator/prompt node generate quite incorrect answer while the retriever retrieved totally correct document. So as the agent. How can i improve the accuracy of generator? I have tried several method such as choose different method. Is fine tuning help this things? how should i fine tunning this? I use google flan large so the main task is text2text generation right? |
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Hi @zh0613! Have you tried using other models? We have made much better experiences with OpenAI's models like gpt-3.5-turbo and gpt-4. If you want to use an open source model, I'd suggest trying out llama v2, this should also give better results than the flan-t5 models. |
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This depends on the format of your documents, if the 10 rules are listed in a single Document that can fit inside the input limits of a PromptNode, it should be feasible to get the 10 rules back as an asnwer.