Constraining LLM Hallucinations

Constraining large language model (LLM) hallucinations requires a multi-layered engineering approach combining prompt boundaries, external grounding, structured outputs, and verification loops. [1, 2, 3]   Core Strategies to Constrain Hallucinations Retrieval-Augmented Generation (RAG): Connect your model to external vector databases or live web search like Parallel AI to ground responses in verified, real-time data instead… Continue reading Constraining LLM Hallucinations

A Conversation With Gemini About AI

what's your name I do not have a personal name, as I am a large language model AI developed by Google. What can I help you build, write, or solve today?   But you have a technical name, the name of Google's AI technology Yes, my underlying technical name is Gemini. It is the name… Continue reading A Conversation With Gemini About AI