#Transformers

Articles about Transformers — exploring patterns, best practices, and real-world implementations in production systems.

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Pratik Dhanave · ·5 min read

The Transformer Backbone, Recapped

Mixture of Experts is a modification to the transformer, so you can't understand modern LLM architecture without a clear picture of the transformer itself. This post is a focused recap of the parts that matter for the rest of the series: attention as the mechanism that mixes information across tokens, the feed-forward block that MoE replaces, and how the pieces stack into the model everyone is now modifying.

Mixture of Experts is a modification to the transformer, so you can't understand modern LLM architecture without a clear picture of the transformer itself. This post is a focused recap of the parts that matter: attention as the mechanism that mixes information across tokens, the feed-forward block that MoE replaces, and how the pieces stack into the model everyone is now modifying.

#LLMs#Transformers#AI Architecture#Machine Learning

All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.