Why Our “Talk to Data” Architecture Stopped Being Linear
📰 Medium · LLM
Learn how a 'Talk to Data' architecture evolved from linear to non-linear, improving knowledge discovery
Action Steps
- Build a prompt chain to facilitate iterative querying
- Configure an LLMWiki to store and manage knowledge
- Apply non-linear architecture to reduce distance between curiosity and understanding
- Test the effectiveness of the new architecture
- Compare results with traditional linear approaches
Who Needs to Know This
Data scientists and engineers can benefit from this architecture to streamline their workflow and improve collaboration
Key Insight
💡 Non-linear architecture can reduce the distance between curiosity and understanding
Share This
🚀 Streamline knowledge discovery with non-linear 'Talk to Data' architecture! 💡
Key Takeaways
Learn how a 'Talk to Data' architecture evolved from linear to non-linear, improving knowledge discovery
Full Article
From prompt chains to LLMWiki: how an internal tool is reducing the distance between curiosity and understanding. Continue reading on Medium »
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