Retrieval-augmented generation, or RAG, is a technique for enhancing the output of large language models by incorporating information from external knowledge bases or sources. By retrieving relevant ...

Retrieval-augmented generation, or RAG, integrates external data sources to reduce hallucinations and improve the response accuracy of large language models. Retrieval-augmented generation (RAG) is a ...

3. Ensuring that employees feel comfortable and get a personalized experience. We also want to create a workplace, which is more inclusive and accessible, irrespective of gender, physical condition, ...

Retrieval Augmented Generation: What It Is and Why It Matters for Enterprise AI Your email has been sent DataStax's CTO discusses how Retrieval Augmented Generation (RAG) enhances AI reliability, ...

RAG allows government agencies to infuse generative artificial intelligence models and tools with up-to-date information, creating more trust with citizens. Phil Goldstein is a former web editor of ...

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 real ...

Recently Air Canada was in the news regarding the outcome of Moffatt v. Air Canada, in which Air Canada was forced to pay restitution to Mr. Moffatt after the latter had been disadvantaged by advice ...

This year, all eyes are on BMW, who's upcoming Neue Klasse of vehicles looks to be a landmark product in terms of taking steps towards Level 3 autonomous driving and, my personal favorite, Augmented ...