The biggest memory burden for LLMs is the key-value cache, which stores conversational context as users interact with AI ...

NC State researchers develop techniques improving LLM safety, minimizing alignment tax during task-specific fine-tuning.

Given that prompts about expertise do have an effect, the researchers – Hu and colleagues Mohammad Rostami and Jesse Thomason ...

Researchers have identified key components in large language models (LLMs) that play a critical role in ensuring these AI ...

Learn how to shift from rankings to real marketing with strategies designed to survive AI-driven search changes.

First set out in a scientific paper last September, Pathway’s post-transformer architecture, BDH (Dragon hatchling), gives LLMs native reasoning powers with intrinsic memory mechanisms that support ...

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

First Proof is an effort to see whether LLMs can contribute meaningfully to pure mathematics research. The dust has settled ...

Starting this week, Perplexity subscribers will have a new agentic tool at their disposal. Perplexity Computer, in the company’s words, “unifies every current AI capability into a single system.” More ...