Two different tricks for fast LLM inference

TL;DR


Summary:

• **What are LLMs and why do they need to be fast?** LLMs (Large Language Models) are artificial intelligence programs that can understand and write text, like ChatGPT. When many people use these programs at the same time, they need to work super quickly, or it feels slow and frustrating—kind of like how a video game needs to run fast to be fun to play.

• **How do we make LLMs faster?** Computer scientists use special tricks to speed up LLMs, like using better hardware (special computer chips), making the programs more efficient, and organizing how the computer processes information. It's similar to how a fast runner trains harder and uses better running shoes to go even faster.

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