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The Illustrated GPT-2 (Visualizing Transformer Language Models)

Discussions:
Hacker News (64 points, 3 comments), Reddit r/MachineLearning (219 points, 18 comments)


Translations: Simplified Chinese, French, Korean, Russian, Turkish






This year, we saw a dazzling application of machine learning. The OpenAI GPT-2 exhibited impressive ability of writing coherent and passionate essays that exceed what we anticipated current language models are able to produce. The GPT-2 wasn’t a particularly novel architecture – it’s architecture is very similar to the decoder-only transformer. The GPT2 was, however, a very large, transformer-based language model trained on a massive dataset. In this post, we’ll look at the architecture that enabled the model to produce its results. We will go into the depths of its self-attention layer. And then we’ll look at applications for the decoder-only transformer beyond language modeling.

My goal here is to also supplement my earlier post, The Illustrated Transformer, ....

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Google Search caught indexing users' conversations with Bard AI

Gagan Ghotra observed that Google Search had begun to index shared Bard conversational links into its search results pages, potentially. ....

Google Bard , Peterj Liu , Gagan Ghotra , Google Search , Search Liaison ,