As recently as 2022, just building a large language model (LLM) was a feat at the cutting edge of artificial-intelligence (AI) engineering. Three years on, experts are harder to impress.

A small team of AI researchers from Carnegie Mellon University, Stanford University, Harvard University and Princeton ...

Small language models do not require vast amounts of expensive computational resources and can be trained on business data ...

From a tiny sample of tissue no larger than a grain of sand, scientists have come within reach of a goal once thought unattainable: building a complete functional wiring diagram of a portion of the ...

A new multimodal tool combines a large language model with powerful graph-based AI models to efficiently find new, synthesizable molecules with desired properties, based on a user's queries in plain ...

Behind the scenes of SEO’s next evolution – where agents navigate filters, product feeds, and even send Slack alerts.

A Structured Approach to Accuracy, Context Preservation, and Risk Mitigation The growing complexity and volume of legal ...

Docker is introducing Model Runner in beta for macOS on Apple silicon. This allows developers to easily work with Large Language Models (LLMs) locally. Running LLMs locally is still a challenge for ...

Mathematical accuracy also showed a spike, going from 68 percent to 82 percent. Even with the AI model size reduced by 76 percent, the performance still got better by 8.4 percent. This shows that ...