What is a Transformer?

Generative AI 101

In this episode, we discover the fascinating world of Transformers. Imagine it's the early days of AI, with RNNs and LSTMs doing the heavy lifting, but struggling with long-range dependencies like forgetful grandparents. Enter the Transformer model—a revolutionary architecture introduced in 2017 by Google’s "Attention is All You Need" paper. Transformers handle long-range dependencies and process data in parallel, making them incredibly efficient. We'll break down their key components like self-attention, positional encoding, and multi-head attention, showing how they transformed the AI landscape. Tune in to discover why Transformers are the shiny new sports car of AI models.

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