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Applications & System Design for LLMs

The practical challenges of deploying LLMs in the real world.

4 days

Topics in this Chapter

1

LLM APIs & Serving

The architecture of serving LLMs at scale.

2

Inference Optimization (Quantization)

Techniques like quantization to make models faster and smaller.

3

Latency vs. Throughput

The key performance metrics for an LLM serving system.

4

KV Cache

A crucial optimization for speeding up text generation.

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