What is Transfer Learning?
Using knowledge gained from one task to improve performance on a different but related task.
Why It Matters
Transfer learning means you do not need massive datasets for every new AI task because models bring existing knowledge.
Real-World Example
A model trained on general English text can be adapted to understand legal documents with relatively little extra training.
“Understanding terms like Transfer Learning matters because it helps you have better conversations with developers and make smarter decisions about your software. You do not need to be technical. You just need to know enough to ask the right questions.”
Related Terms
Fine-tuning
Adapting a pre-trained AI model to perform better on a specific task by training it on additional specialised data.
Few-shot Learning
Teaching an AI model to perform a task by showing it just a few examples in the prompt.
Training Data
The dataset used to teach an AI model patterns and knowledge during its initial training.
Large Language Model (LLM)
An AI system trained on massive amounts of text that can understand and generate human language.
Learn More at buildDay Melbourne
Want to understand these concepts hands-on? Join our one-day workshop and build a real web application from scratch.
Related Terms
Large Language Model (LLM)
An AI system trained on massive amounts of text that can understand and generate human language.
Fine-tuning
Adapting a pre-trained AI model to perform better on a specific task by training it on additional specialised data.
Few-shot Learning
Teaching an AI model to perform a task by showing it just a few examples in the prompt.
Training Data
The dataset used to teach an AI model patterns and knowledge during its initial training.
Transformer
A type of AI architecture that processes text by paying attention to relationships between all words at once, rather...
Attention Mechanism
A technique that lets AI models focus on the most relevant parts of the input when generating output.