Based on the search results for "find my blog posts that mention transformer architecture", here are two relevant blog posts:
- This post discusses the Transformer architecture, which is a type of neural network introduced in the article "Attention Is All You Need" (2017). It relies on self-attention and feed-forward layers instead of recurrence to model sequences.
- This post explores the use cases of the Transformer architecture in Computer Vision, noting that while it has become the highest standard for tasks involving Natural Language Processing (NLP), its use cases relating to CV remain limited.
These posts provide an overview and analysis of the Transformer architecture from different perspectives.
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