fix description

fern/pages/changelog/2024-12-02-Rerank-v3.5-is-released.mdx

@@ -4,22 +4,21 @@ slug: "changelog/rerank-v3.5"
 createdAt: "Mon Dec 2 2024 00:00:00 (MST)"
 hidden: false
 description: >-
-  Launch of Rerank 3.5 offers improved performance for long and short
-  documents with a context length of 4096. Rerank 3.5 is SOTA in both English and multilingual retrieval tasks 
+  New model release: Rerank 3.5
 ---
 
 We're pleased to announce the release of [Rerank 3.5](/docs/rerank-2) our newest and most performant foundational model for ranking. Rerank 3.5 has a context length of 4096, SOTA performance on Multilingual Retrieval tasks and Reasoning Capabilities. In addition, Rerank 3.5 has SOTA performance on BEIR and domains such as Finance, E-commerce, Hospitality, Project Management, and Email/Messaging Retrieval tasks.
 
-In the rest of these release notes, we’ll provide more details about changes in the api. 
+In the rest of these release notes, we’ll provide more details about changes to the api.
 
 ## Technical Details
 
 ### API Changes:
 
-The Rerank v2 API has the following major changes: 
+Along with the model, we are releasing V2 of the Rerank API. It includes the following major changes:
 - `model` is now a required parameter
 - `max_chunks_per_doc` has been replaced by `max_tokens_per_doc`; `max_tokens_per_doc` will determine the maximum amount of tokens a document can have before truncation. The default value for `max_tokens_per_doc` is 4096.
-- support for passing a list of objects for the `documents` parameter has been removed - if your documents contain structured data, for best performance we recommend formatting them as [YAML strings](/docs/rerank-overview#example-with-structured-data). 
+- support for passing a list of objects for the `documents` parameter has been removed - if your documents contain structured data, for best performance we recommend formatting them as [YAML strings](/docs/rerank-overview#example-with-structured-data).
 
 Example request