Large language models evolved alongside deep-learning neural networks and are critical to generative AI. Here's a first look, including the top LLMs and what they're used for today.

More information: Valentin Hofmann et al, Derivational morphology reveals analogical generalization in large language models, Proceedings of the National Academy of Sciences (2025). DOI: 10.1073 ...

Many NLP applications are built on language representation models (LRM) designed to understand and generate human language. Examples of such models include GPT (Generative Pre-trained Transformer ...

New reasoning models have something interesting and compelling called “chain of thought.” What that means, in a nutshell, is that the engine spits out a line of text attempting to tell the user what ...

There’s a trade-off between the accuracy and sustainability of different large language models, according to German ...

These are the best Large Language Models (LLMs) for business, chatbots, coding, and more. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works ...

One way of reducing this cost is to create examples using a language model in order to simulate human-AI interaction. This AI-generated feedback is then used to train the system.

Retrieval-augmented generation, or RAG, integrates external data sources to reduce hallucinations and improve the response accuracy of large language models. Retrieval-augmented generation (RAG ...

On Monday, a group of university researchers released a new paper suggesting that fine-tuning an AI language model (like the one that powers ChatGPT) on examples of insecure code can lead to ...

Selector AI’s network-specific language model is a fine-tuned version of LLama optimized to understand networking concerns. Topics Spotlight: New Thinking about Cloud Computing ...