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layout: post | ||
title: "Rspamd 3.9.0 has been released" | ||
categories: announce | ||
--- | ||
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Today we have released Rspamd 3.9.0 featuring many new features & fixes, the most important of which are highlighted below. Refer to the [migration notes]({{ site.baseurl }}/doc/tutorials/migration.html) for an overview of potentially-breaking changes only. | ||
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## Improvements to Bayes configuration | ||
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Rspamd now uses a reduced window size of 2 words by default; this change does not require statistics to be retrained. In testing this reduced window size has produced the same or better results with better performance & lower storage requirements. The new `rspamadm classifier_test` utility could be used for your own experiments. | ||
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## New GPT module | ||
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This release provides a module Rspamd for using LLMs for text classification, you could read more about it in a [dedicated blog post]({{ site.baseurl }}/misc/2024/07/03/gpt.html). | ||
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## Improvements to `known_senders` & `replies` modules | ||
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These release includes enhancements to the `known_senders` and `replies` modules enabling them to collectively flag verified user contacts, refer to documentation of these modules for more detail. | ||
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## Dynamic multipliers for ratelimits are now disabled by default | ||
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To prevent likely confusion, dynamic ratelimits are now disabled by default and must be configured explicitly, refer to the migration notes for details how. | ||
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## Various bugfixes & new features | ||
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* Reworked `grow_factor` to work in an orderly fashion | ||
* Fixed `SUBJ_ALL_CAPS` for unicase scripts by `@ikedas` | ||
* Fixed relearning of bayes messages by `@aduernberger` | ||
* Fixed retrieving word count in antivirus module by `@PxPert` | ||
* Improvements for rules by `@twesterhever` and `@ishisora` | ||
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Thank you to everyone who contributed. |