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.

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.

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.

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.

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.