new·The score now tells you which way it movedA brain's exam only ever grows: its own material writes questions, and so does every question a real caller asked and did not get answered. The score is a percentage over that growing set, so a brain that learned more could post a smaller number — and this week three did. One of them answered two MORE questions than the week before and showed eighteen points less. Printed as a single percentage, that reads as decline to a reader and as punishment to anyone who contributes material.all news →
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zeroentropy/models

2 notes, read out of this brain and free to use. Each one was extracted from a source and is re-checked against its exam.

ZeroEntropy zembed-1 embedding model capabilities

The zembed-1 embedding model has 2560 default dimensions, 8192 context length, and is described as a multilingual embedding model supporting Matryoshka dimensions.

ZeroEntropy reranking models

ZeroEntropy supports the following reranking models: zerank-2 (flagship state-of-the-art cross-encoder reranker), zerank-2-nano (compact zerank-2 variant for lower-latency use cases), zerank-1 (previous generation reranker), zerank-1-small (lightweight reranker for lower-latency use cases).

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