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https://github.com/iryna-kondr/scikit-llm

Seamlessly integrate LLMs into scikit-learn.
https://github.com/iryna-kondr/scikit-llm

chatgpt deep-learning llm machine-learning scikit-learn transformers

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Seamlessly integrate LLMs into scikit-learn.

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# Scikit-LLM: Scikit-Learn Meets Large Language Models

Seamlessly integrate powerful language models like ChatGPT into scikit-learn for enhanced text analysis tasks.

## Installation 💾

```bash
pip install scikit-llm
```

## Support us 🤝

You can support the project in the following ways:

- ⭐ Star Scikit-LLM on GitHub (click the star button in the top right corner)
- 💡 Provide your feedback or propose ideas in the [issues](https://github.com/iryna-kondr/scikit-llm/issues) section or [Discord](https://discord.gg/YDAbwuWK7V)
- 📰 Post about Scikit-LLM on LinkedIn or other platforms
- 🔗 Check out our other projects: Dingo, Falcon







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## Quick Start & Documentation 📚

Quick start example of zero-shot text classification using GPT:

```python
# Import the necessary modules
from skllm.datasets import get_classification_dataset
from skllm.config import SKLLMConfig
from skllm.models.gpt.classification.zero_shot import ZeroShotGPTClassifier

# Configure the credentials
SKLLMConfig.set_openai_key("")
SKLLMConfig.set_openai_org("")

# Load a demo dataset
X, y = get_classification_dataset() # labels: positive, negative, neutral

# Initialize the model and make the predictions
clf = ZeroShotGPTClassifier(model="gpt-4")
clf.fit(X,y)
clf.predict(X)
```

For more information please refer to the [documentation](https://beastbyteai.github.io/scikit-llm-docs/).

## Citation

You can cite Scikit-LLM using the following BibTeX:

```
@software{ScikitLLM,
author = {Iryna Kondrashchenko and Oleh Kostromin},
year = {2023},
publisher = {beastbyte.ai},
address = {Linz, Austria},
title = {Scikit-LLM: Scikit-Learn Meets Large Language Models},
url = {https://github.com/iryna-kondr/scikit-llm }
}
```