How LinkedIn replaced five feed retrieval systems with one LLM model — and what engineers building recommendation pipelines can learn from the redesign.

Artificial intelligence (AI) is rapidly transforming healthcare. AI systems can now detect diabetic eye disease from retinal photos and analyze CT images for signs of early-stage lung cancers and ...

The annotation, recruitment, grounding, display, and won gates determine which content AI engines trust and recommend. Here’s ...

Researchers are beginning to see bots repurposed for emotional support in lieu of traditional mental healthcare ...

I test-drove both. Here’s what I learned. In early March, OpenAI unleashed a one-two punch, dropping two major frontier models just days apart.

Model selection, infrastructure sizing, vertical fine-tuning and MCP server integration. All explained without the fluff. Why Run AI on Your Own Infrastructure? Let’s be honest: over the past two ...

Leaders might assume that LLMs are able to offer a kind of unbiased, outside perspective. But new research found that leading ...

Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular ...

The growing impact of expensive large language model outages demands a return to architectural basics in order to maintain ...

Many executives already use gen AI as a thought-partner and c0-strategist. But are these tools reliable across markets? New ...

Machine Unlearning platform powered by the NVIDIA stack demonstrates up to 91% reduction in prompt injections and 95% reduction in bias across foundat ...

This review explores the intersection between large language models (LLMs) and cognitive science by examining similarities and differences between LLMs and human cognitive processes. It evaluates ...