Large language models (LLMs) like OpenAI’s GPT-4 and Google’s PaLM have captured the imagination of industries ranging from healthcare to law. Their ability to generate human-like text has opened the ...

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 ...

What if the way we retrieve information from massive datasets could mirror the precision and adaptability of human reading—without relying on pre-built indexes or embeddings? OpenAI’s latest ...

COMMISSIONED: Retrieval-augmented generation (RAG) has become the gold standard for helping businesses refine their large language model (LLM) results with corporate data. Whereas LLMs are typically ...

Widespread amazement at Large Language Models' capacity to produce human-like language, create code, and solve complicated ...

The Instructed Retriever is set to replace RAG on a large scale. Databricks sees a 70 percent improvement with the ...

Retrieval Augmented Generation (RAG) is supposed to help improve the accuracy of enterprise AI by providing grounded content. While that is often the case, there is also an unintended side effect.

Today, Databricks (known for its data analytics software) is debuting a new architecture for retrieval-augmented AI agents ...

Search is dead, long live search! Search isn’t what it used to be. Search engines no longer simply match keywords or phrases in user queries with webpages. We are moving well beyond the world of ...

Have you ever found yourself frustrated by how even the smartest AI systems sometimes fall short when faced with truly complex problems? Whether it’s navigating intricate financial decisions, ...