sklearn
An open-source Python machine learning library that provides a broad range of algorithms and tools for classification, regression, clustering, feature selection, and model evaluation.
Timeline (last 90 days)
The embedding + sklearn solution is cheaper than Jev and almost always significantly more accurate.
A Voyage AI engineer posted on Reddit that a solution using embedding models plus sklearn classifiers reduced the error rate by 37% compared with the decision model Jev.
The experiment used open-source or low-cost embedding models to convert input text into vectors, then fitted a simple sklearn model on top of the embeddings and compared it with Jev in terms of effectiveness and cost.
When labeled data is available, embedding + sklearn is usually better, especially when the amount of labeled data is sufficient to cover the task distribution.
sklearn is the most mainstream classical machine learning library in the Python ecosystem, offering algorithms such as logistic regression, support vector machines, random forests and gradient boosting.
sklearn typically completes fitting in just seconds on sample sizes ranging from hundreds to tens of thousands.
The intent classifier can be implemented using regex patterns, a lightweight sklearn model, or a smaller quantized LLM, and runs before the expensive LLM calls.
All Facts (7)
The embedding + sklearn solution is cheaper than Jev and almost always significantly more accurate.
50%UnverifiedA Voyage AI engineer posted on Reddit that a solution using embedding models plus sklearn classifiers reduced the error rate by 37% compared with the decision model Jev.
50%UnverifiedThe experiment used open-source or low-cost embedding models to convert input text into vectors, then fitted a simple sklearn model on top of the embeddings and compared it with Jev in terms of effectiveness and cost.
50%UnverifiedWhen labeled data is available, embedding + sklearn is usually better, especially when the amount of labeled data is sufficient to cover the task distribution.
50%Unverifiedsklearn is the most mainstream classical machine learning library in the Python ecosystem, offering algorithms such as logistic regression, support vector machines, random forests and gradient boosting.
50%Unverifiedsklearn typically completes fitting in just seconds on sample sizes ranging from hundreds to tens of thousands.
50%UnverifiedThe intent classifier can be implemented using regex patterns, a lightweight sklearn model, or a smaller quantized LLM, and runs before the expensive LLM calls.
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