EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hacker News·Jul 29·5 min read
TokenTown: A visual way to understand how LLMs work
TL;DR
TokenTown is an interactive isometric city that visually demonstrates how transformer language models operate, showcasing each stage of processing from tokenization to sampling. It provides a unique educational tool for understanding the mechanics of large language models (LLMs) in real-time.
✦ Why It Matters
Explore TokenTown today to deepen your understanding of transformer models and their inner workings.
Key Takeaways
- Use TokenTown to visualize transformer model processes.
- Experiment with speed settings to grasp model dynamics.
- Engage with district explanations for deeper insights.
- Apply learnings to improve your own model understanding.
How It Works
TokenTown operates by simulating the journey of a hidden state through various stages of a transformer model. Each district represents a processing step, such as tokenization, embedding, and attention mechanisms.
The convoy's path illustrates how data is transformed at each layer, with visual elements like the truck bars representing actual vectors and warehouse beams showing softmax weights. This interactive model allows users to see how inputs are processed in real-time, enhancing comprehension of complex concepts.