Tag: LLM attribution

Citation and Attribution in RAG Outputs: How to Build Trustworthy LLM Responses

by Phillip Ramos

Citations in RAG systems turn AI guesses into verifiable facts. Learn how to implement accurate, trustworthy citations using real-world frameworks, data prep tips, and the latest 2025 research to meet regulatory demands and build user trust.

Recent-posts

$Domain-Specialized Large Language Models: Code, Math, and Medicine$

Domain-Specialized Large Language Models: Code, Math, and Medicine

Oct, 3 2025

Hardware-Friendly LLM Compression: How to Fit Large Models on Consumer GPUs and CPUs

Jan, 22 2026

Customer Journey Personalization Using Generative AI: Real-Time Segmentation and Content

Mar, 17 2026

Combining Pruning and Quantization for Maximum LLM Speedups

Mar, 3 2026

Why Understanding Every Line of AI-Generated Code Isn't the Goal in Vibe Coding

Mar, 27 2026