Primer
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Building trusted AI

Published by Primer

This whitepaper discusses building trust in AI by addressing hallucinations, where AI generates incorrect information. It emphasizes grounding techniques to ensure reliable outputs, reinforcement learning with human feedback (RLHF), and instruction-tuning to align AI behavior with user needs. The paper highlights the importance of human oversight, high-quality data, and collaboration to safely deploy AI models.

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Related Categories Artificial Intelligence, AI Ethics, AI Integration, AI Strategy, AI Deployment, AI Governance, AI Chips, AI Accelerators, Sales & Marketing, Predictive Analysis, Customer Segmentation, Lead Scoring, Marketing Automation

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