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How to Build an Efficient Knowledge Base for AI Models | Towards Data Science

Towards Data Science·Nidhin Karunakaran Ponon·29 days ago
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only as strong as their knowledge base. An accurate and curated knowledge base improves both model speed and accuracy—areas where current models often fall short. In fact, a recent study shows that major AI chatbots are wrong for almost every second query. In this article, I’ll cover how you can build a reliable knowledge base with detailed steps and mistakes to avoid. 6 steps to build an effective knowledge base Steps to build a knowledge base | Image by author Taking a systematic approach to building a knowledge base helps you create one that is standardized, scalable, and self-explanatory. Any new developer can easily add or update the knowledge base over time to keep it up to date and reliable. To ensure you get there, you can follow these six steps whenever you start creating a knowledge base: 1. Collect data A main misconception with collecting data for a knowledge base is assuming more is better. It makes you fall into the classic “garbage in, garbage out” issue.…

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