1. LLM challenge.max 1000x1000 1

Your RAGs powered by Google Search technology, part 1

When a large language model (LLM) doesn’t have enough information or has no contextual knowledge of a topic, it is more likely to hallucinate and provide inaccurate or false responses. Developers are increasingly excited about generative AI and Retrieval Augmented Generation (RAG) — an architecture pattern that combines LLMs with backend information retrieval from other …

Widespread machine learning methods behind ‘link prediction’ are performing very poorly, researchers find

As you scroll through any social media feed, you are likely to be prompted to follow or friend another person, expanding your personal network and contributing to the growth of the app itself. The person suggested to you is a result of link prediction: a widespread machine learning (ML) task that evaluates the links in …