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The best way to use AI to make academic research papers more accessible is to train an AI assistant on your published papers, datasets, and supplementary materials so readers can ask questions in plain language and receive clear, accurate explanations […]

To keep your internal AI knowledge base current, establish a streamlined update process that integrates policy change notifications, automated content versioning, and regular AI retraining. This ensures your AI assistant delivers accurate, compliant answers as company policies evolve. In practice, […]

You can make legacy engineering drawings and specifications searchable by digitizing them with OCR, indexing them into an AI knowledge base, and using a retrieval-based AI system that allows engineers to search and ask questions in natural language. This turns […]

Training an AI model involves teaching it patterns from large datasets to generate responses, while grounding with Retrieval-Augmented Generation (RAG) uses external knowledge sources at query time to provide accurate, context-specific answers without retraining the model. What does “training” an […]

Employees need training on AI capabilities, limitations, proper usage protocols, data privacy, and troubleshooting to effectively adopt internal AI assistants. Well-structured onboarding ensures user confidence, accurate interactions, and maximizes AI benefits. What happens without proper training? Misuse or overreliance on […]

You can automate FAQ responses with AI by training a knowledge-based AI system on your existing FAQs, help articles, and policies, then deploying it as a chatbot or help widget. This allows customers to receive instant, accurate answers without human […]