content.raw: You can now build a custom text classifier without days of human labeling!
content.type: text
content.value: You can now build a custom text classifier without days of human labeling!
content.type: new_line
content.type: new_line
content.raw: 👍 LLMs work reasonably well as text classifiers.
content.type: text
content.value: 👍 LLMs work reasonably well as text classifiers.
content.type: new_line
content.raw: 👎 They are expensive to run at scale and their performance drops in specialized domains.
content.type: text
content.value: 👎 They are expensive to run at scale and their performance drops in specialized domains.
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content.type: new_line
content.raw: 👍 Purpose-built classifiers have low latency and can potentially run on CPU.
content.type: text
content.value: 👍 Purpose-built classifiers have low latency and can potentially run on CPU.
content.type: new_line
content.raw: 👎 They require labeled training data.
content.type: text
content.value: 👎 They require labeled training data.
content.type: new_line
content.type: new_line
content.raw: 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.
content.type: text
content.value: 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.
content.type: new_line
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content.raw: Blog: 
content.type: text
content.value: Blog: 
content.href: https://huggingface.co/blog/sdiazlor/custom-text-classifier-ai-human-feedback
content.raw: https://huggingface.co/blog/sdiazlor/custom-text-classifier-ai-human-feedback
content.type: link
rawContent: You can now build a custom text classifier without days of human labeling!
  
  👍 LLMs work reasonably well as text classifiers.
  👎 They are expensive to run at scale and their performance drops in specialized domains.
  
  👍 Purpose-built classifiers have low latency and can potentially run on CPU.
  👎 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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