← All companies

Company

Perplexity

5 problems tagged for Perplexity.

Easy× 1Medium× 2Hard× 1Expert× 1How these tags are sourced

Implement Temperature Sampling

Divide logits by a temperature scalar before softmax to sharpen or flatten the token probability distribution.

Easy

Implement KV Cache for Autoregressive Generation

Cache key and value tensors from previous timesteps so each new token only computes attention over one new position.

Medium

Implement Top-p (Nucleus) Sampling

Sort logits, compute cumulative probabilities, mask tokens below the nucleus threshold, and sample from the filtered distribution.

Medium

Implement Continuous Batching for LLM Inference

Dynamically slot sequences in and out of a running batch as they finish, maximizing throughput without padding waste.

Hard

Build a Complete LLM Inference Engine

Combine KV caching, continuous batching, and memory management into a production-grade inference server.

Expert