fix server_arguments typo (#3499)

docs/backend/server_arguments.md

@@ -44,13 +44,13 @@ Please consult the documentation below to learn more about the parameters you ma
 * `tokenizer_path`: Defaults to the `model_path`.
 * `tokenizer_mode`: By default `auto`, see [here](https://huggingface.co/docs/transformers/en/main_classes/tokenizer) for different mode.
 * `load_format`: The format the weights are loaded in. Defaults to `*.safetensors`/`*.bin`.
-* `trust_remote_code`:  If `True`, will use locally cached config files, other wise use remote configs in HuggingFace.
+* `trust_remote_code`:  If `True`, will use locally cached config files, otherwise use remote configs in HuggingFace.
 * `dtype`: Dtype used for the model, defaults to `bfloat16`.
 * `kv_cache_dtype`: Dtype of the kv cache, defaults to the `dtype`.
 * `context_length`: The number of tokens our model can process *including the input*. Not that extending the default might lead to strange behavior.
 * `device`: The device we put the model, defaults to `cuda`.
 * `chat_template`: The chat template to use. Deviating from the default might lead to unexpected responses. For multi-modal chat templates, refer to [here](https://docs.sglang.ai/backend/openai_api_vision.html#Chat-Template).
-* `is_embedding`: Set to true to perform [embedding](https://docs.sglang.ai/backend/openai_api_embeddings.html) / [enocode](https://docs.sglang.ai/backend/native_api.html#Encode-(embedding-model)) and [reward](https://docs.sglang.ai/backend/native_api.html#Classify-(reward-model)) tasks.
+* `is_embedding`: Set to true to perform [embedding](https://docs.sglang.ai/backend/openai_api_embeddings.html) / [encode](https://docs.sglang.ai/backend/native_api.html#Encode-(embedding-model)) and [reward](https://docs.sglang.ai/backend/native_api.html#Classify-(reward-model)) tasks.
 * `revision`: Adjust if a specific version of the model should be used.
 * `skip_tokenizer_init`: Set to true to provide the tokens to the engine and get the output tokens directly, typically used in RLHF.
 * `json_model_override_args`: Override model config with the provided JSON.