What is Instruction Tuning?
Training an AI model to follow specific instructions by providing examples of instruction-response pairs.
Why It Matters
Instruction tuning is what turns a raw language model into a helpful assistant that follows directions.
Real-World Example
Training a model with thousands of examples like 'Summarise this article' paired with good summaries.
“Understanding terms like Instruction Tuning 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.
RLHF (Reinforcement Learning from Human Feedback)
A training technique where human preferences are used to teach AI models to produce better, more helpful responses.
Large Language Model (LLM)
An AI system trained on massive amounts of text that can understand and generate human language.
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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.
RLHF (Reinforcement Learning from Human Feedback)
A training technique where human preferences are used to teach AI models to produce better, more helpful responses.
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.
Tokenisation
The process of breaking text into smaller pieces called tokens that an AI model can process.