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
Category: Concerns
Concerns related to current or anticipated conditions or circumstances.
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
A Conversation with ChatGPT
AI: Annie Nice to see you again, jvs! User: Can a false premise be used to construct a valid conclusion? AI: Annie Absolutely! A false premise can be used to construct a valid conclusion if the conclusion does not depend on the truth of the premise. User: Interesting insight AI: Annie I'm glad you found… Continue reading A Conversation with ChatGPT
Security and Trust
Sacred Geometries Security and Trust are vertices in a form of Sacred Geometry. The apex of the web, as described by Berners-Lee, is Trust. eCoin, as described by bitCoin and ethereum, define Trust in cyber-money; which is misguided, although not wholly irrational. Block-chain is one way to achieve a bookkeeping version of Trust using a… Continue reading Security and Trust