This is really easy to set up - and is much more accurate than asking the LLM to predict True/False.

Just feed the outputs of an embedding API into logistic regression, e.g. from sklearn.

  import voyageai
  
  vo = voyageai.Client()
  # This will automatically use the environment variable VOYAGE_API_KEY.
  # Alternatively, you can use vo = voyageai.Client(api_key="<your secret key>")

  texts = ["Sample text 1", "Sample text 2"]

  result = vo.embed(texts, model="voyage-2", input_type="document")
  print(result.embeddings[0])

https://scikit-learn.org/1.5/modules/generated/sklearn.linea...

Are these models available for us to try out?

I'd pay good money for a local LLM with no "content safety" at all.

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