From b481952a7a6fc782a57fb5b38024665769726bf4 Mon Sep 17 00:00:00 2001
From: Andrei Vishniakov <31008759+avishniakov@users.noreply.github.com>
Date: Tue, 12 Nov 2024 16:03:38 +0100
Subject: [PATCH] Update release notes

---
 RELEASE_NOTES.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/RELEASE_NOTES.md b/RELEASE_NOTES.md
index aa52ac85ac..2809cc6016 100644
--- a/RELEASE_NOTES.md
+++ b/RELEASE_NOTES.md
@@ -9,7 +9,7 @@ The **ZenML 0.70.0** release includes a significant number of database schema ch
 * **Artifact Versioning Improvements**: The handling of artifact versions has been improved, including the API improvements like the ability to batch artifact version requests to improve the execution times and more types for the step input/output artifacts, including multiple versions of the same artifact (e.g. model checkpoints), to improve the UX using ZenML UI or while working directly with the API.
 * **Scalability Enhancements**: Various scalability improvements have been made, such as reducing unnecessary server requests and incrementing artifact versions server-side. These enhancements are expected to provide significant speed and scale improvements for ZenML users.
 * **Metadata management**: Now, all the metadata-creating functions are gathered under one method called `log_metadata`. It is possible to call this method with different inputs to log run metadata for artifact versions, model versions, steps, and runs.
-* **The oneof filtering**: This allows to filter entities using a new operator called `oneof`. You can possibly use this with IDs, tags, and all the other attributes like `PipelineRunFilter(tag='oneof:["cats", "dogs"]')`.
+* **The oneof filtering**: This allows to filter entities using a new operator called `oneof`. You can use this with IDs (UUID type) or tags (or other string-typed attributes) like this `PipelineRunFilter(tag='oneof:["cats", "dogs"]')`.
 * **Documentation Improvements**: The ZenML documentation has been restructured and expanded, including the addition of new sections on [finetuning](https://docs.zenml.io/user-guide/llmops-guide/finetuning-llms) and [LLM/ML engineering](https://docs.zenml.io/user-guide/llmops-guide/evaluation) resources.
 * **Bug Fixes**: This release includes several bug fixes, including issues with in-process main module source loading, and more.