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.

In a recent study, researchers show that OpenAI’s o1 reasoning model is able to recognize, map out, and even build upon one of the most complex phenomena of human language, a concept called linguistic ...

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 ...

Researchers at Helmholtz Munich have developed an artificial intelligence model that can simulate human behavior with ...

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 ...

Apple has just released an AI model that, rather than generating code from left to right, does it out of order and all at ...

KEY TAKEAWAYS • Different types of AI models power rigorous applications, each tailored to specific tasks. Common types of AI models include machine learning, deep learning, natural language ...

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 ...

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 ...

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 ...