BERT
Product
by Google
BERT is an encoder-only Transformer language model introduced by Google researchers in 2018. It uses self-supervised pretraining to learn bidirectional representations of text, and can be fine-tuned for natural-language-processing tasks such as text classification, question answering, and named-entity recognition.
2 episodes featuring BERT
TBPN
AI’s next edge may be specialized data, not bigger models
The episode tests whether AI progress will be decided by benchmark scores or by trusted data, infrastructure, oversight, and distribution.
Sep 3, 2026 · 2h 26m
TBPN
GPT-6 Astra reignites the fight over AI benchmarks
The episode captures an industry where model launches, enterprise safeguards, open-source platforms, and shifting evaluations are reshaping who gets trusted and why.
Sep 3, 2026 · 30 min