Topic: Models

  • Reasoning model

    A model trained to work through a problem internally before committing to an answer.

  • RLHF

    Training a model toward responses humans rate highly, rather than toward text that merely looks likely.

  • Context window

    The total amount of text a model can consider at once — its entire working memory.

  • Post-training

    The smaller training phase that shapes a model’s behaviour rather than its knowledge.

  • Pretraining

    The first and largest training phase, where a model learns from raw text by predicting what comes next.

  • Parameter

    A single learned number inside a model. Collectively, what the model knows.

  • Inference

    Running a trained model to produce output, as opposed to training it.

  • Large language model

    A model trained to predict the next piece of text, at a scale where doing so requires learning much of what language…

  • DeepSeek ships its V4-Pro agentic flagship

    The lab that triggered the price war releases a premium-priced model.

  • Anthropic previews models with cyber capability claims

    Vulnerability discovery across major operating systems and browsers is demonstrated.