Solution: Co-optimization of Knowledge Base and Model Services
Improving the quality of AI intelligences' answers requires optimization in two dimensions: data sources and reasoning capabilities:
- Knowledge base building::
- Upload professional documents in PDF/TXT format (recommended file size not more than 20MB)
- Setting up a document update mechanism to synchronize the latest version on a regular basis
- Add meta tags (industry/use/currency) to documents for easy retrieval
- Model Service Configuration::
- Setting the temperature parameter in model_config.yaml controls answer creativity (recommended 0.3-0.7)
- Enable multi-model routing policies and automatically assign the most appropriate model for different problem types
- Configure the fallback mechanism to switch to manual processing when the confidence level falls below a threshold value
Best Practice: It is recommended to set up QA test sets to compare the effect of different configurations through A/B testing. For business-critical scenarios, you can enable the "Answer Source Labeling" feature to display the referenced knowledge base passages.
This answer comes from the articleCoze Studio (Coze Open Source Edition): an open source low-code platform for rapidly building AI intelligencesThe
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