update meta desc

cohere-ai · Sep 24, 2024 · 749afbd · 749afbd
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diff --git a/fern/pages/v2/fine-tuning/chat-fine-tuning/chat-preparing-the-data.mdx b/fern/pages/v2/fine-tuning/chat-fine-tuning/chat-preparing-the-data.mdx
@@ -3,7 +3,7 @@ title: "Preparing the Chat Fine-tuning Data"
 slug: "v2/docs/chat-preparing-the-data"
 
 hidden: false
-description: "This document provides guidelines on preparing data in `jsonl` format for fine-tuning a chat model, including ensuring proper roles, message lengths, and encoding in UTF-8. It also explains how to create datasets using the Python SDK and best practices for chat customization."
+description: "Prepare your data for fine-tuning a Command model for Chat with this step-by-step guide, including data formatting, requirements, and best practices."
 image: "../../../../assets/images/6b90ef9-cohere_meta_image.jpg"  
 keywords: "fine-tuning, fine-tuning language models"
 

diff --git a/fern/pages/v2/fine-tuning/chat-fine-tuning/chat-starting-the-training.mdx b/fern/pages/v2/fine-tuning/chat-fine-tuning/chat-starting-the-training.mdx
@@ -3,7 +3,9 @@ title: "Starting the Chat Fine-Tuning"
 slug: "v2/docs/chat-starting-the-training"
 
 hidden: false
-description: "This document provides a guide on how to train a fine-tuning model for Chat using both the Web UI and the Python SDK, including steps for data upload, data requirements, training, and calling the model with `co.chat()`."
+description: >-
+  Learn how to fine-tune a Command model for chat with the Cohere Web UI or
+  Python SDK, including data requirements, pricing, and calling your model.
 image: "../../../../assets/images/049a66f-cohere_meta_image.jpg"  
 keywords: "fine-tuning, fine-tuning language models"
 

diff --git a/fern/pages/v2/fine-tuning/classify-fine-tuning/classify-preparing-the-data.mdx b/fern/pages/v2/fine-tuning/classify-fine-tuning/classify-preparing-the-data.mdx
@@ -3,7 +3,9 @@ title: "Preparing the Classify Fine-tuning data"
 slug: "v2/docs/classify-preparing-the-data"
 
 hidden: false
-description: "This document provides guidelines on preparing data for fine-tuning models for classification, including requirements for single-label and multi-label datasets, cleaning the dataset, and creating evaluation datasets using the Python SDK."
+description: >-
+  Learn how to prepare your data for fine-tuning classification models,
+  including single-label and multi-label data formats and dataset cleaning tips.
 image: "../../../../assets/images/033184f-cohere_meta_image.jpg"  
 keywords: "classification models, fine-tuning, fine-tuning language models"