What an AI vendor mean when he say hallucination-free, enterprise-grade, and 95% accurate. How to evaluate AI vendor claims: A technical guide for CTOs and AI leaders
When different AI models, trained by different companies, keep giving you the same answer, that is not a coincidence. In this piece, Chetanya Puri, Senior Machine Learning Engineer at CluePoints, explains why researchers now have a name for it, a dataset to measure it, and evidence that the problem runs deeper than anyone's system prompt.
ksheshkumar Ajaykumar Shah, Founder & CEO, Cogniify.ai, writes on why most enterprise AI teams choose wrong between fine-tuning, prompt engineering, and RAG, and how understanding the right architecture for each can turn AI from an expensive experiment into a scalable business tool.
