Solid breakdown of KV caching - one of those concepts that separates "I've used an LLM API" from "I understand what's happening under the hood." If you're prepping for ML interviews or just want to understand why token generation slows down with longer sequences, this covers the mechanics well.
Solid breakdown of KV caching - one of those concepts that separates "I've used an LLM API" from "I understand what's happening under the hood." 🔧 If you're prepping for ML interviews or just want to understand why token generation slows down with longer sequences, this covers the mechanics well.
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AI Interview Series #4: Explain KV Caching
Question: You’re deploying an LLM in production. Generating the first few tokens is fast, but as the sequence grows, each additional token takes progressively longer to generate—even though the model architecture and hardware remain the same. If compute isn’t the primary bottleneck, what inefficiency is causing this slowdown, and how would you redesign the inference […] The post AI Interview Series #4: Explain KV Caching appeared first on MarkTechPost.
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