few-shot examples
PulseAugur coverage of few-shot examples — every cluster mentioning few-shot examples across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
-
Prompt Caching Slashes LLM Costs Up to 75% by Reusing KV Cache
Prompt caching is a technique that can significantly reduce the cost of using large language models by reusing computed states, known as the KV cache. This method is most effective when static content, such as system pr…
-
Prompt Caching Slashes LLM Costs by Reusing KV Tensors
Prompt caching is an optimization technique that can significantly reduce the cost of using large language models by reusing previously computed key/value tensors. This method is effective when subsequent requests share…
-
Few-shot examples can hurt LLM prompt performance
Adding more few-shot examples to an LLM prompt does not always improve performance, and can sometimes degrade it. In one experiment, a prompt with six examples performed worse than one with four, with the two additional…