How to optimize your data labelling project with custom interfaces
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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.
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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❤️🔥 Just released version 2.0 of Argilla!
This small revolution includes:
🔌 You can now integrate with the Hugging Face Hub and get started in under five minutes.
🪂 A single
🔧 It’s 100 times simpler to configure your dataset now with the new SDK!
📖 The documentation has been revamped to be cleaner and more user-friendly.
🍌 A new feature automates splitting annotation tasks among a team.
✍️ The layout has been made more flexible to accommodate many use cases.
Check out the release highlights for more details: https://github.com/argilla-io/argilla/releases/tag/v2.0.0
This small revolution includes:
🔌 You can now integrate with the Hugging Face Hub and get started in under five minutes.
🪂 A single
Dataset class is now designed to handle multiple tasks.🔧 It’s 100 times simpler to configure your dataset now with the new SDK!
📖 The documentation has been revamped to be cleaner and more user-friendly.
🍌 A new feature automates splitting annotation tasks among a team.
✍️ The layout has been made more flexible to accommodate many use cases.
Check out the release highlights for more details: https://github.com/argilla-io/argilla/releases/tag/v2.0.0
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