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![[On-Device AI Chatbot] Part 6: How to Verify AI Quality? (Introduction to SuperVision)](https://static.wixstatic.com/media/2ea07e_38184c3eec5940288ae0fcc2e73f6e2d~mv2.png/v1/fill/w_992,h_559,fp_0.50_0.50,q_35,blur_30,enc_avif,quality_auto/2ea07e_38184c3eec5940288ae0fcc2e73f6e2d~mv2.png)
![[On-Device AI Chatbot] Part 6: How to Verify AI Quality? (Introduction to SuperVision)](https://static.wixstatic.com/media/2ea07e_38184c3eec5940288ae0fcc2e73f6e2d~mv2.png/v1/fill/w_992,h_559,fp_0.50_0.50,q_95,enc_avif,quality_auto/2ea07e_38184c3eec5940288ae0fcc2e73f6e2d~mv2.png)
[On-Device AI Chatbot] Part 6: How to Verify AI Quality? (Introduction to SuperVision)
How to Verify AI Quality? Introduction to SuperVision In Part 5, we explored how to inject our company's proprietary knowledge into the on-device chatbot using Local RAG (Retrieval-Augmented Generation) and Multi-Context Switching. However, equipping the chatbot with knowledge does not immediately solve all problems. "How can we be absolutely sure that this chatbot isn't fabricating answers and is truthfully speaking only about what is in the provided documents?" In Part 6,
Feb 21
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