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/capabilities

5 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 text embedding model creation

Create a text embedding model using the `.textEmbeddingModel()` factory method. Example: `zeroentropy.textEmbeddingModel('zembed-1')`

ZeroEntropy embed function usage

Generate single embeddings using the `embed` function from the AI SDK. Example: `const { embedding } = await embed({ model: zeroentropy.textEmbeddingModel('zembed-1'), value: 'sunny day at the beach' });`

ZeroEntropy embedMany function usage

Generate batch embeddings using the `embedMany` function from the AI SDK. Example: `const { embeddings } = await embedMany({ model: zeroentropy.textEmbeddingModel('zembed-1'), values: ['first document', 'second document'] });`

ZeroEntropy reranking model creation

Create a reranking model using the `.rerankingModel()` factory method. Example: `zeroentropy.rerankingModel('zerank-2')`

ZeroEntropy rerank function usage

Perform reranking using the `rerank` function from the AI SDK. Example: `const result = await rerank({ model: zeroentropy.rerankingModel('zerank-2'), query: 'talk about rain', documents: ['sunny day at the beach', 'rainy day in the city'], topN: 2 });`

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