New York City council data scientist says organisations should get their hands dirty with open source AI as his teams build ...

Have you ever turned to artificial intelligence (AI) for answers and gotten a response that made you do a double-take? You’re not the only one. AI hallucination isn’t a sci-fi trope - it’s a ...

Reuters, the news and media division of Thomson Reuters, is the world’s largest multimedia news provider, reaching billions ...

To mitigate that possibility, agencies are starting to experiment with and even deploy an AI process called retrieval-augmented generation. With RAG, the answers users get to queries should be “more ...

“Specialized RAG agents built on the Contextual AI Platform will bridge this gap, enabling small and medium-sized enterprises to boost their productivity with AI that truly understands their domain.

Suppose an AI assistant fails to answer a question about current events or provides outdated information in a critical situation. This scenario, while increasingly rare, reflects the importance of ...

From RAG to Riches: Building Enterprise AI Your Users Will Actually Use This article is presented by TC Brand Studio. This is paid content, TechCrunch editorial was not involved in the development ...

Simplifies the creation of Retrieval-Augmented Generation (RAG) workflows and AI agents for faster results. Multi-Model Flexibility: Switch or combine multiple large language models (LLMs ...

Enter retrieval-augmented generation (RAG), a framework that’s here to keep AI’s feet on the ground and its head out of the clouds. RAG gives AI a lifeline to external, up-to-date sources of ...