fix docs

abhishekkrthakur · abhishekkrthakur · commit cdb3f57ebd40 · 2024-12-02T15:15:13.000+01:00
diff --git a/docs/source/tasks/extractive_qa.mdx b/docs/source/tasks/extractive_qa.mdx
@@ -1,8 +1,3 @@
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-title: "AutoTrain Extractive Question Answering - Train QA Models Easily"
-description: "Learn how to train extractive question answering models using AutoTrain. Simple guide for both local and cloud training with popular models like BERT."
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 # Extractive Question Answering with AutoTrain
 
 Extractive Question Answering (QA) enables AI models to find and extract precise answers from text passages. This guide shows you how to train custom QA models using AutoTrain, supporting popular architectures like BERT, RoBERTa, and DeBERTa.
diff --git a/docs/source/tasks/llm_finetuning.mdx b/docs/source/tasks/llm_finetuning.mdx
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-title: "LLM Finetuning with AutoTrain Advanced"
-description: "Complete guide to fine-tuning Large Language Models (LLMs) using AutoTrain Advanced. Learn how to prepare data, train models, and deploy them for text generation, chatbots, and more."
-keywords: "llm finetuning, language model training, autotrain, hugging face, nlp, machine learning"
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 # LLM Finetuning with AutoTrain Advanced
 
 AutoTrain Advanced makes it easy to fine-tune large language models (LLMs) for your specific use cases. This guide covers everything you need to know about LLM fine-tuning.
