Pratham Sharma·Oct 24Guardrails for Text-to-SQL: How to Let an LLM Query Your Data Without Letting It Go WrongNatural language to SQL is one of the most useful things you can build with an LLM. It’s also one of the easiest to get wrong. Here’s how…A response icon2A response icon2
İlayda Doğan·Oct 22Yapay Zekâ “Bilmiyorum” Demekte Zorlanıyor mu?Dil modellerinin halüsinasyon üretmesinde belirsizliğin, eğitimin ve dilin nasıl bir payı var?
InTowards AIbySanjana Dubey·Oct 17Why AI Makes Things Up: A Complete Guide to LLM HallucinationA complete 2026 guide to LLM hallucination: what it is, the types, how to detect it, how industry reduces it, and a working code example.A response icon2A response icon2
annika·Oct 12AI Hallucinations And How They MatterWe hear about AI Hallucinating..now lets dive deep to get to know what it actually is.
Genga K·Oct 11Popular Is Not True: How LLMs Learn Myths from the InternetHow repeated false information shapes what AI believes, and what I found when I tested it myself.
bhupen·Sep 18The Faithfulness Metric: Catching the Hallucinations Your RAG System Doesn’t Know It’s Making !If you’ve built a RAG (Retrieval-Augmented Generation) system, you’ve probably had this moment: the answer reads perfectly. Confident tone…
Tripathishivangi·Sep 14LLM Hallucination Across Text, Vision, and AudioHow hallucinations emerge during generation — and why grounding becomes harder as AI moves across modalities
InAccredianbyAdiNagare·Sep 4Why AI Sometimes Lies: Understanding Hallucinations in Generative AIFrom Creative Predictions to Confident Mistakes: What Really Happens Inside Large Language Models
Suparna·Sep 2Stop Your LLM From Repeating Itself with Frequency & Presence PenaltiesStop Your LLM From Repeating Itself with Frequency & Presence Penalties
Steph Swierenga·Aug 25bearout, an Anti-confabulation python packageMitigating LLM hallucinations inside citations
