AI Snips
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AI as Data Transformation
- AI models perform data transformation, taking input data and producing output data like a software function.
- Unlike traditional software, model parameters are set through training, not fully programmed logic.
Fine-Tuning Foundation Models
- Fine-tuning large, already-trained models lets you adapt them to specific tasks without retraining from scratch.
- This approach saves data and computational resources while keeping the power of large foundation models.
Generative AI Model Usage
- Generative AI models complete input sequences to create outputs like images, text, or music.
- They are used as-is in many cases without further fine-tuning, marking a shift in AI usage.