A practical overview of security architectures, threat models, and controls for protecting proprietary enterprise data in retrieval-augmented generation (RAG) systems.

VL-JEPA predicts meaning in embeddings, not words, combining visual inputs with eight Llama 3.2 layers to give faster answers you can trust.

Panxo announced the public launch of its next-generation infrastructure platform designed to identify and classify ...

The idea of the Instructed Retriever architecture is that it turns these implied conditions into explicit search parameters.

For hackers, the stolen data would be useless, but authorized users would have a secret key that filters out the fake ...

Large language models are powering a new generation of AI agents that could transform computational chemistry from a ...

Faced with a complex regulatory landscape and intense public and investor scrutiny, financial institutions could use an ...

Toronto-based financial planning and analysis software company Friedmann AI launched in December. The company is trying to ...

Perplexity offers a minimalist, search-like interface that backs up its statements with citations and references. In ...

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

For most of the modern internet’s life, discovery followed a familiar ritual. You typed a query, scanned  a page of links, ...