Typo.

fern/pages/get-started/frequently-asked-questions.mdx

@@ -24,11 +24,11 @@ Aya specializes in human-like multilingual text generation and conversations, id
 
 You can check out [this link](https://cohere.com/research/aya) to learn more about Aya models, datasets and related research papers.
 
-<Accordion>"How does Cohere's language model compare to other LLMs like GPT-4, ChatGPT, Claude, Gemini, and others?"</Accordian>
+<Accordion>"How does Cohere's language model compare to other LLMs like GPT-4, ChatGPT, Claude, Gemini, and others?"</Accordion>
 
 Cohere’s Command models have strong performance across enterprise tasks such as summarization, multilingual use cases, and retrieval augmented generation. We also have the widest range of deployment options, you can check it [here](https://cohere.com/deployment-options). 
 
-<Accordion>"How can I use Cohere's models for various tasks and applications, such as translation, text embedding, summarization, and custom tool development?"</Accordian>
+<Accordion>"How can I use Cohere's models for various tasks and applications, such as translation, text embedding, summarization, and custom tool development?"</Accordion>
 
 You can access Cohere’s models through our platform (cohere.com) or through various cloud platforms including, but not limited to, Sagemaker, Bedrock, Azure AI, and OCI Generatie AI. We also have private deployments. In terms of use case specific features, please reference the latest [API documentation](https://docs.cohere.com/reference/about) to learn more about the API features and [Cookbooks](https://docs.cohere.com/page/cookbooks) with starter codes for various tasks to aid development. 
 
@@ -100,7 +100,7 @@ You can find a full list of languages that are supported by Cohere’s multiling
 
 You can check the range of use cases based on our customer stories [here](https://cohere.com/use-cases). 
 
-<Accordion>"What are the best practices for preparing and structuring fine-tuning data, and what are the supported file formats?"</Accordian>
+<Accordion>"What are the best practices for preparing and structuring fine-tuning data, and what are the supported file formats?"</Accordion>
 
 You can find the best practices for preparing and structuring fine-tuning data across these three modules. Data preparation for [chat fine-tuning](https://docs.cohere.com/docs/chat-preparing-the-data), [classify fine-tuning](https://docs.cohere.com/docs/classify-preparing-the-data) and [rerank fine-tuning](https://docs.cohere.com/docs/rerank-preparing-the-data). The primary file formats supported are jsonl and csv.