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Articles by Benjamin Trent

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Save space with byte-sized vectors

Elasticsearch is introducing a new type of vector that has 8-bit integer dimensions. This is 4x smaller than the current vector with 32-bit float dimensions, which can result in substantial space savings.

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Getting the Most Out of Transformers in Elastic

In this blog, we will briefly talk about how we fine-tuned a transformer model meant for a masked language modeling (MLM) task, to make it suitable for a classification task.

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Aggregate data faster with new the random_sampler aggregation

Aggregate billions of documents in milliseconds instead of minutes with Elastic. Learn more about how the new random_sampler aggregation gives you statistically robust results at a lower cost.

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Categorize your logs with Elasticsearch categorize_text aggregation

Categorize_text expands the toolset for exploring your logs. It automatically clusters logs, taking advantage of all the flexibility and power of the extensive Elasticsearch aggregation framework, now in 7.16.

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Using Elastic supervised machine learning for binary classification

The release of supervised machine learning in Elastic Stack 7.6 closes the loop for an end-to-end machine learning pipeline. Learn how to get started with it in this example using binary classification.