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Part 09 · Fine-tuning and Serving Models

Making LLMs Faster and Cheaper

TTFT & TPSPrompt cachingSpeculative decodingModel routing

Where the time and money go: time to first token vs tokens per second, prompt caching, speculative decoding, and sending easy questions to a cheaper model.

⏱ 1-2 hours · Station 75 of 92

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← Previous stopModel ServingNext stop →Project: Fine-tune a Small Model with LoRA
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