Prompt Lookup Decoding (via) Really neat LLM optimization trick by Apoorv Saxena, who observed that it’s common for sequences of tokens in LLM input to be reflected by the output—snippets included in a summarization, for example.
Apoorv’s code performs a simple search for such prefixes and uses them to populate a set of suggested candidate IDs during LLM token generation.
The result appears to provide around a 2.4x speed-up in generating outputs!
Recent articles
- The Summer of Johann: prompt injections as far as the eye can see - 15th August 2025
- Open weight LLMs exhibit inconsistent performance across providers - 15th August 2025
- LLM 0.27, the annotated release notes: GPT-5 and improved tool calling - 11th August 2025