RoBERTa

Large language models grew out of linguistics — so why aren't linguists in the room where they're built?

Encoder models pull over a billion downloads a month. Decoder models pull 397 million. The AI conversation and the download counter are describing ...

Feature extraction, fill-mask, token classification — the classic NLP tasks still have a job. Here's when a small model beats a frontier API.

Machine learning calls everything a "prediction" — even generated images. Here's why the terminology matters more than you think.

Why did decoder-only models like GPT dominate AI, while encoders and encoder-decoders still hold critical niches?

Before GPT, two models changed everything. Discover how BERT and CLIP taught machines to read and see the world.