Dynamic Data Update Solution
DeepResearcher has made it possible for us to get a better understanding of what is happening in the world throughSelf-reflective adjustment mechanismsEnsure that information is current:
- Time filter: add time_range parameter (e.g. "past_year") to config.yaml to limit the retrieval time range.
- Version identification: the system automatically detects the version number in the technical documentation and compares it to the latest GitHub repository.
- Trend analysis: generation of technology life cycle curves based on time series data
Practical advice:
- Enable automatic update detection by appending the -check-update parameter when starting handler.py
- For critical API documentation, it is recommended to set verify_frequency=7 (weekly review)
- Identify expired tech stacks via python . /evaluate/tech_obsolete_detect.py script to identify outdated tech stacks
This answer comes from the articleDeepResearcher: driving AI to study complex problems based on reinforcement learningThe
May not be reproduced without permission:AI productivity tools " How to avoid the impact of outdated information in technology development?
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