AI reasoning does not necessarily require spending huge amounts on frontier models. Instead, smaller models can yield ...

On Thursday, OpenAI announced it had developed a large language model specifically trained on common biology workflows.

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 ...

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

Build your first fully functional, Java-based AI agent using familiar Spring conventions and built-in tools from Spring AI.

Everyone working on artificial intelligence these days fears the worst-case scenario. The precocious LLM will suddenly glide off the rails and start spouting dangerous thoughts. One minute it’s a ...

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 to prototype a large language ...

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 ...

Through its proprietary LTM, ‘NEXUS’, Fundamental reveals the hidden language of tables to unlock trillions of dollars in enterprise value, while a strategic partnership with AWS accelerates adoption ...

Large-language models (LLMs) have taken the world by storm, but they’re only one type of underlying AI model. An under-the-radar company, Fundamental, is set to bring a new type of enterprise AI model ...