content.raw: Build a fine-tuning dataset with No Code.
content.type: text
content.value: Build a fine-tuning dataset with No Code.
content.type: new_line
content.type: new_line
content.raw: Do you want to build a small dataset for creative writing to fine-tune an Open LLM?
content.type: text
content.value: Do you want to build a small dataset for creative writing to fine-tune an Open LLM?
content.type: new_line
content.raw: - Find a dataset full of conversations with ChatGPT on the Hugging Face Hub.
content.type: text
content.value: - Find a dataset full of conversations with ChatGPT on the Hugging Face Hub.
content.type: new_line
content.raw: - Import it into your Argilla Space.
content.type: text
content.value: - Import it into your Argilla Space.
content.type: new_line
content.raw: - Preview the dataset and create a question to label the relevant conversations.
content.type: text
content.value: - Preview the dataset and create a question to label the relevant conversations.
content.type: new_line
content.raw: - Label 1000 valid examples of creating writing.
content.type: text
content.value: - Label 1000 valid examples of creating writing.
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content.raw: - Use this dataset with Autotrain to fine-tune your model.
content.type: text
content.value: - Use this dataset with Autotrain to fine-tune your model.
rawContent: Build a fine-tuning dataset with No Code.
  
  Do you want to build a small dataset for creative writing to fine-tune an Open LLM?
  - Find a dataset full of conversations with ChatGPT on the Hugging Face Hub.
  - Import it into your Argilla Space.
  - Preview the dataset and create a question to label the relevant conversations.
  - Label 1000 valid examples of creating writing.
  - Use this dataset with Autotrain to fine-tune your model.
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