Building an Intelligent Knowledge Sharing System
The following workflows can be created for research teams:
- Mechanisms for the co-hearing of literature: Automatically generate podcasts of selected weekly papers to be pushed to the channel via Slack bots (Zapier automation integration required)
- Interactive discussion: After listening, record the question in the Notion template and AI summarizes the key query points for the group to discuss (template references GitHub example)
- Multi-language support: Modify the Discussion Chain prompt to include instructions such as "summarize the core findings in Chinese" to make it easier for international teams to understand.
advanced skill: The prompts can be fine-tuned for specific areas (e.g., biomedical), emphasizing requirements such as "explain with clinical examples". History podcasts are recommended to be stored in vector databases such as Milvus for semantic retrieval.
This answer comes from the articlePaper to Podcast: Converting Academic Papers to Multi-Person Conversation PodcastsThe
May not be reproduced without permission:AI productivity tools " How can this tool be applied to improve efficiency in team-based academic collaboration scenarios?
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