The AI Concepts Podcast
Sheetal ’Shay’ DharThe AI Concepts Podcast is my attempt to turn the complex world of artificial intelligence into bite-sized, easy-to-digest episodes. Imagine a space where you can pick any AI topic and immediately grasp it, like flipping through an Audio Lexicon - but even better! Using vivid analogies and storytelling, I guide you through intricate ideas, helping you create mental images that stick. Whether you’r... more
| Publishes | Daily | Episodes | 49 | Founded | a year ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | EducationCoursesTechnology | |||
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Latest Episodes
Shay explains where a transformer actually stores knowledge: not in attention, but in the MLP (feed-forward) layer. The episode frames the transformer block as a two-step loop: attention moves information between tokens, then the MLP transforms each ... more
Shay breaks down the encoder vs decoder split in transformers: encoders (BERT) read the full text with bidirectional attention to understand meaning, while decoders (GPT) generate text one token at a time using causal attention.
She ties the archite... more
Shay explains multi-head attention and positional encodings: how transformers run multiple parallel attention 'heads' that specialize, why we concatenate their outputs, and how positional encodings reintroduce word order into parallel processing.
Th... more
In this episode, Shay walks through the transformer's attention mechanism in plain terms: how token embeddings are projected into queries, keys, and values; how dot products measure similarity; why scaling and softmax produce stable weights; and how ... more
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Apple Podcasts | #51 |  India/Technology |
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| Listeners per Episode | Gender Skew | Location | |||
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The AI Concepts Podcast launched a year ago and published 49 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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