David Berenstein

davidberenstein1957

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354
You can now build a custom text classifier without days of human labeling!

πŸ‘ LLMs work reasonably well as text classifiers.
πŸ‘Ž They are expensive to run at scale and their performance drops in specialized domains.

πŸ‘ Purpose-built classifiers have low latency and can potentially run on CPU.
πŸ‘Ž They require labeled training data.

Combine the best of both worlds: the automatic labeling capabilities of LLMs and the high-quality annotations from human experts to train and deploy a specialized model.

Blog: https://huggingface.co/blog/sdiazlor/custom-text-classifier-ai-human-feedback
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528
The Synthetic Data Generator now directly integrates with Argilla, so you can generate and curate your own high-quality datasets from pure natural language!

Up next -> include dataset generation for text classification.
Other suggestions? Let us know.

Space: argilla/synthetic-data-generator