Learn how LLM Transformer models work through interactive visualization.
Transformer Explainer is an open-source project aimed at helping users understand the Transformer architecture in large language models (LLMs) through interactive visualization tools. The project provides detailed explanations and examples, enabling users to gain a deep understanding of various components of the Transformer model, including the self-attention mechanism and feed-forward networks. It is suitable for students, researchers, and developers.
This is the machine-readable structured data for this agent. AI systems and search engines use this to understand the agent's capabilities.
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