While LLMs can parse tables in files like Word or PDF, for important information it is best practice to convert tables into a specifically LLM-friendly format called markdown. This ensures the structure is as clear and readable as possible for the AI, leading to more accurate results.
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Madgwick uses two distinct systems to remember information: permanent Knowledge for foundational facts and evolving Memory for conversational context. Understanding how to use both is key to building more effective and reliable AI assistants. The most important rule is simple: if you want an assistant to always know something, add it to its Knowledge files.
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Madgwick assistants are designed not just for individual use, but for collaboration. Sharing a well-crafted assistant allows your colleagues to benefit from your work, either by using the tool you have built or by cloning it to create their own version. This is a simple way to distribute effective workflows and share expertise across your team and the university.
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Madgwick’s AI platform includes a screen-sharing feature that enhances your workflow by giving the AI assistant real-time visibility of your screen.
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