The Life of a Prompt (End to End)
Explore the complete journey of a prompt within a large language model, from initial tokenization and embedding to deep transformer processing and final word prediction. Learn how inputs become meaningful vectors, how attention mechanisms create context, and how the model selects its final output token.
We'll cover the following...
We have reached the end of our inference journey. Over the last few lessons, we have built every single component of a modern transformer decoder.
Let’s watch our simple prompt, "Twinkle, twinkle, little", complete its incredible journey from human language to a final, creative prediction.
Phase 1: Input preparation
The journey begins by translating our prompt into a format the machine can understand. This is a three-step process to create a matrix rich with both meaning and order.
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