Transformer-based models

Type: Concept

Transformer-based models

As of November 2026, Transformer-based models has been mentioned in 2 episodes across 2 podcasts, first heard Jul 2025 on Wes and Dylan.

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

Transformer-based models at a glance
Mentioned in2 episodes on 2 podcasts (as of November 2026)
First heardJul 2025 on Wes and Dylan
FieldArtificial Intelligence

What do podcasts say about Transformer-based models?

2 quotes from Hala Taha, recorded on Wes and Dylan and Young and Profiting.

  • It's not the way a human brain works… magical as it is… not handling… fundamental things.
    Wes and Dylan · · Hear it
  • Named as technical components without strong value judgment: names of transformer models…
    Hala Taha · Young and Profiting · · Episode

How do different shows talk about Transformer-based models?

2 shows discussed Transformer-based models in these episodes.

Who talks about Transformer-based models on podcasts?

Hala Taha brought up Transformer-based models; the most recent mention was Nov 2025 on Young and Profiting.

What is Transformer-based models mentioned alongside?

Transformer-based models is most often mentioned alongside Indeed, Netflix, Inc. and OpenAI.

Mentioned together: Indeed, Netflix, Inc., OpenAI, Stanford University, United States (states), Sam Altman, Meta, SpaceX, Nvidia, Keen Technologies