Our experimental evaluation on 13 domain-specific datasets demonstrates that OWNER surpasses existing LLM-based open-world NER models and remains competitive with more supervised and closed-world zero ...

Last September, I wrote a blog covering a status update on the federal government deadline arriving on implementing a zero-trust cybersecurity model, along with some state government implications.

Modern LLMs are adept at performing various text generation tasks through zero-shot learning, prompted with instructions ... The proposed model is built on the joint CTC and attention architecture, ...

Called Titans, the architecture enables models to find and store during inference small bits of information that are important in long sequences. Titans combines traditional LLM attention blocks ...

WASHINGTON--(BUSINESS WIRE)--Tidal Cyber, the Threat-Informed Defense company, today announced the acquisition of Zero-Shot Security ... is a large language model (LLM) based reasoning system ...

Meta open-sourced Byte Latent Transformer (BLT), an LLM architecture that uses a learned dynamic scheme for processing patches of bytes instead of a tokenizer. This allows BLT models to match the ...

Moxin LLM 7B builds on the architecture of Mistral ... Second, its strong performance in zero-shot and few-shot evaluations demonstrates its capability to handle complex reasoning, coding, and ...

The technical foundation of large language models consists of transformer architecture ... common LLM training methods: The most common types of LLMs are language representation, zero-shot ...

This guide provides IT leaders with a comprehensive approach to applying zero-trust principles in AI and LLM architectures ... of security and ethics in AI architecture Recent publications ...