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Examples of Prompt Engineering, Zero Shot Learning, Few Shot Learning and Retrieval Augmented Generation (RAG) using Hugging Face, Databricks and MLflow

License: MIT License

Python 99.85% Shell 0.15%
databricks few-shot-learning hugging-face llmops mlflow mlops prompt-engineering retrieval-augmented-generation retrieval-augmented-qa transformers

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databricks-llm-prompt-engineering's Issues

Bitext Dataset links outdated and Key Error for 'Test'

The bitext huggingface data link has changed, so this line is now:
ds = datasets.load_dataset("bitext/Bitext-customer-support-llm-chatbot-training-dataset")

I changed the next line error for "utterances" to "instruction" but not sure if that is correct because I'm unsure of what the previous data columns were:

ds = ds.rename_columns({
  "instruction": "text",
  "intent": "labels"
}).remove_columns(["category", "flags"])

Finally, I'm currently stuck getting key error for test:

train_df = ds["train"].to_pandas()
test_df = ds["test"].to_pandas()

labels = list(set(list(train_df.labels.unique()) ))

Edit: It seems that there is a not a 'test' for evaluation any longer

Any suggestions would be appreciated

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