AI / A CONCEPT NOTE
Instruction Tuning
fine-tuning to follow instructions
Overview · mechanism
pitfall · examples
01 / THE SHORT VERSION
The idea in a few sentences.
Fine-tuning a base model on conversational data (User prompt + target Assistant response pairs) to teach it how to follow instructions and answer questions directly.
02 / FOLLOW THE MECHANISM
How instructions tunes performance
Format dataset
packages questions and answers in user/assistant chat blocks.
Fine-tuning
trains the base model on this structured dialog dataset.
Response switch
model stops copying input questions and starts responding directly.
04 / COMMAND NOTES
Read the command, then the result.
Inspect the flags and arguments before trying an example. Snippets can need local setup, replacement values, or resources in your own environment.
load instruction token templates
python -c "from transformers import AutoTokenizer; ..."The ellipsis omits required code or values. This sketch is not runnable as written.
05 / CHECK YOURSELF
Could you explain Instruction Tuning to a teammate?
Try it out loud in two sentences: what it is, and the one detail that changes the picture. If you stall, the gap is the part to reread.
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