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Understanding Tokenization in Large Language Models
Before a language model sees a single word, it needs to break text into pieces it can understand. This process, called tokenization, might seem like a technical detail, but it shapes everything about ...
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Highlights from Shiny in Production (2025)
This October, Jumping Rivers hosted the fourth installment of our conference “Shiny In Production”. This year, speakers from around the world joined us in Newcastle to see how Shiny, in both Python an...
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Architecture Design Principles for Large Language Models
When you’re building a language model, architecture decisions can make or break your project. The difference between a model that barely works and one that performs brilliantly often comes down to arc...
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