Transformers (machine learning model)
Type: Concept
As of November 2026, Transformers (machine learning model) has been mentioned in one podcast episode on Young and Profiting (Nov 2025).
In deep learning, the transformer is a family of artificial neural network architectures based on the multi-head attention mechanism, in which input data such as text, images, or audio is converted to a sequence of numerical representations called tokens, and each token is converted into a vector through an embedding layer. At each layer, each token is then contextualized within the scope of the context window with other (unmasked) tokens via a parallel multi-head attention mechanism, allowing t
| Mentioned in | 1 episode on 1 podcast (as of November 2026) |
|---|---|
| First heard | Nov 2025 on Young and Profiting |
| Field | Artificial Intelligence, Machine Learning |
Who talks about Transformers (machine learning model) on podcasts?
Transformers (machine learning model) came up; the most recent mention was Nov 2025 on Young and Profiting.
- Mo Gawdat: The Terrifying Truth About AI on Young and Profiting (Nov 2025)
What is Transformers (machine learning model) mentioned alongside?
Transformers (machine learning model) is most often mentioned alongside GitHub, Indeed and Instagram.
Mentioned together: GitHub, Indeed, Instagram, China, OpenAI, TikTok, General AI (Artificial General Intelligence), Universal Basic Income, Stanford University, YouTube