Can the other LLMs keep up?

Meta reports that Muse Spark achieves its reasoning capabilities using over an order of magnitude less compute than Llama 4 ...

Andrej Karpathy's LLM Wiki reimagines how humans and AI collaborate on knowledge creation through iterative refinement rather ...

A new large language model, Qehwa, has been developed by Junaid Ahmed, in a solo effort, to serve more than 60 million Pashto speakers worldwide. Inspired ...

Z.AI's GLM-5 tutorial reveals a model built for real agentic workflows, with transparent reasoning and OpenAI-compatible APIs ...

The Kodak Pixpro FZ55 has been a best-seller for years, but Agfa Photo's newest budget compact camera might just give it competition ...

As large language models (LLMs) gain momentum worldwide, there’s a growing need for reliable ways to measure their performance. Benchmarks that evaluate LLM outputs allow developers to track ...

Boeing engineers Kevin Kwak (foreground) and Klaus Okkelberg confer with fellow team members Arvel Chappell III and Andrew Riha (both on-screen), who worked together ...

In this tutorial, we implement an end-to-end Direct Preference Optimization workflow to align a large language model with human preferences without using a reward model. We combine TRL’s DPOTrainer ...

In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline ...

A close-up image of a time-of-flight mass spectrometer, with several metal tips all pointing at one location. Mass spectrometry, conducted with instruments such as the one shown, can uncover human ...