Welcome to the AI Toolkit quick start guide! Whether you're new to AI development or looking to streamline your workflow, this tutorial will help you get up and running in no time. Let's dive in!
🚀 Step-by-Step Guide
1. Installation
Start by installing the AI Toolkit using pip:
pip install ai_toolkit
Once installed, you can import it into your Python projects with:
import ai_toolkit
2. Initialization
Initialize the toolkit with your API key:
toolkit = ai_toolkit.Toolkit(api_key="YOUR_API_KEY")
3. Basic Usage
Use the toolkit to perform a simple AI task, like text generation:
response = toolkit.generate_text(prompt="Hello, AI Toolkit!", max_length=50)
print(response)
4. Advanced Features
Explore more features such as model training and deployment:
model = toolkit.train_model(data="your_dataset.csv", epochs=10)
toolkit.deploy_model(model, endpoint="/api/v1/predict")
📚 Next Steps
After completing this quick start, you might want to dive deeper into the toolkit's capabilities. Check out our full documentation for detailed guides on advanced use cases and API references.
📷 Visual Examples
Let us know if you need further assistance! 🌟