Topic: Models
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Reasoning model
A model trained to work through a problem internally before committing to an answer.
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RLHF
Training a model toward responses humans rate highly, rather than toward text that merely looks likely.
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Context window
The total amount of text a model can consider at once — its entire working memory.
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Post-training
The smaller training phase that shapes a model’s behaviour rather than its knowledge.
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Pretraining
The first and largest training phase, where a model learns from raw text by predicting what comes next.
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Parameter
A single learned number inside a model. Collectively, what the model knows.
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Inference
Running a trained model to produce output, as opposed to training it.
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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…
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DeepSeek ships its V4-Pro agentic flagship
The lab that triggered the price war releases a premium-priced model.
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Anthropic previews models with cyber capability claims
Vulnerability discovery across major operating systems and browsers is demonstrated.
