typo fixes

content/release-notes/2.4.0.md

@@ -20,18 +20,18 @@ New [`AnswerJoiner`](https://docs.haystack.deepset.ai/v2.4/docs/answerjoiner) co
 
 ### ⬆️ Upgrade Notes
 
--   The `ontextRelevanceEvaluator` now returns a list of relevant sentences for each context, instead of all the sentences in a context. Also, a score of 1 is now returned if a relevant sentence is found, and 0 otherwise.
--   Removed the deprecated `DynamicPromptBuilder` and `DynamicChatPromptBuilder` components. Use `PromptBuilder` and `hatPromptBuilder` instead.
--   `OutputAdapter` and `onditionalRouter` can't return users inputs anymore.
+-   The `ContextRelevanceEvaluator` now returns a list of relevant sentences for each context, instead of all the sentences in a context. Also, a score of 1 is now returned if a relevant sentence is found, and 0 otherwise.
+-   Removed the deprecated `DynamicPromptBuilder` and `DynamicChatPromptBuilder` components. Use `PromptBuilder` and `ChatPromptBuilder` instead.
+-   `OutputAdapter` and `ConditionalRouter` can't return users inputs anymore.
 -   `Multiplexer` is removed and users should switch to `BranchJoiner` instead.
 -   Removed deprecated init parameters `extractor_type` and `try_others` from `HTMLToDocument`.
 -   `SentenceWindowRetrieval` component has been renamed to `SenetenceWindowRetriever`.
 -   The `serialize_callback_handler` and `deserialize_callback_handler` utility functions have been removed. Use `serialize_callable` and `deserialize_callable` instead. For more information on `serialize_callable` and `deserialize_callable`, see the API reference: <https://docs.haystack.deepset.ai/reference/utils-api#module-callable_serialization>
 
 ### 🚀 New Features
 
--   LLM based evaluators can pass in supported OpenAIGenerator parameters via api_params. This allows for custom generation_kwargs, changing the api_base_url (for local evaluation), and all other supported parameters as described in the OpenAIGenerator docs.
--   Introduced a new AnswerJoiner component that allows joining multiple lists of Answers into a single list using the Concatenate join mode.
+-   LLM based evaluators can pass in supported `OpenAIGenerator` parameters via `api_params`. This allows for custom generation_kwargs, changing the api_base_url (for local evaluation), and all other supported parameters as described in the OpenAIGenerator docs.
+-   Introduced a new `AnswerJoiner` component that allows joining multiple lists of Answers into a single list using the Concatenate join mode.
 -   Add `truncate_dim` parameter to Sentence Transformers Embedders, which allows truncating embeddings. Especially useful for models trained with Matryoshka Representation Learning.
 -   Add `precision` parameter to Sentence Transformers Embedders, which allows quantized embeddings. Especially useful for reducing the size of the embeddings of a corpus for semantic search, among other tasks.
 
@@ -70,9 +70,9 @@ New [`AnswerJoiner`](https://docs.haystack.deepset.ai/v2.4/docs/answerjoiner) co
 
 ### 🐛 Bug Fixes
 
--   Fix ChatPromptBuilder from_dict method when template value is None.
--   Fix the DocumentCleaner removing the `f` tag from content preventing from counting page number (by Splitter for example).
--   The DocumentSplitter was incorrectly calculating the `split_start_idx` and `\_split_overlap` information due to slight miscalculations of appropriate indices. This fixes those so the `split_start_idx` and `\_split_overlap` information is correct.
+-   Fix `ChatPromptBuilder` from_dict method when template value is None.
+-   Fix the `DocumentCleaner` removing the `f` tag from content preventing from counting page number (by Splitter for example).
+-   The DocumentSplitter was incorrectly calculating the `split_start_idx` and `split_overlap` information due to slight miscalculations of appropriate indices. This fixes those so the `split_start_idx` and `split_overlap` information is correct.
 -   Fix bug in Pipeline.run() executing Components in a wrong and unexpected order
 -   Encoding of HTML files in LinkContentFetcher
 -   Fix Output Adapter from_dict method when custom_filters value is None.