Term: Pre-trained Model
Day: 17
Level: Foundational
Category: Learning & Models
🪄 Simple Definition: An AI model that’s already been trained on a large dataset before you use it.
🌟 Expanded Definition: A pre-trained model has already learned patterns from massive amounts of general data (like text, images, or audio). Instead of starting from scratch, you begin with this base model and apply it directly to tasks — or adapt it further with methods like transfer learning or fine-tuning. Pre-training saves time, money, and makes powerful AI accessible to more people.
⚡ In Action: Instead of training a language model from the ground up, a company starts with GPT (a pre-trained model) and adapts it with prompts or domain-specific instructions for customer service.
💡 AIS+ Pro Tip: Think of pre-trained models as “off-the-shelf” starting points. Choose one trained on data that’s closest to your use case to get the best results with the least effort.
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