Quietly, and likely faster than most people expected, local AI models have crossed that threshold from an interesting ...

When it comes to GenAI, the security of the AI models themselves is at risk as ‘data poisoning’ is increasingly taking aim at the training data that large language models rely on to generate responses ...

Synthetic data generation has emerged as a crucial technique for addressing various challenges, including data privacy, scarcity and bias. By creating artificial data that mimics real-world datasets, ...

As more organizations implement large language models (LLMs) into their products and services, the first step is to understand that LLMs need a robust and scalable data infrastructure capable of ...

SACRAMENTO — The question for many schools about using large language models (LLMs) has shifted from “if” to “how,” and there are no shortage of technology vendors bidding for their attention. But for ...

RAG is an approach that combines Gen AI LLMs with information retrieval techniques. Essentially, RAG allows LLMs to access external knowledge stored in databases, documents, and other information ...

Large language models can generate useful insights, but without a true reasoning layer, like a knowledge graph and graph-based retrieval, they’re flying blind. The major builders of large language ...

Search has gone through serious transformations over the years, all while maintaining its significance in even the most advanced eras of tech. With new iterations comes new methods of optimization, ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Nvidia, Hugging Face and ServiceNow are ...

A new study from Arizona State University researchers suggests that the celebrated "Chain-of-Thought" (CoT) reasoning in Large Language Models (LLMs) may be more of a "brittle mirage" than genuine ...