GPT-4 Made Instructions That Teach Other AIs — Better Results with 52K Examples
Researchers used GPT-4 to write a big set of simple instructions that help other AIs learn.
They created about 52K English and Chinese examples, and then used them to train smaller models.
The models trained this way got better at handling new tasks without seeing any examples first, so they can try things right away.
They also gathered feedback and side‑by‑side comparisons from GPT-4 to check answers and teach a scoring system, which made the teaching stronger, and more fair.
The team shared the data and the code openly, so anyone can download and try it — many people already are testing it, and finding useful results.
This approach shows a simple idea: one smart model can make many clear lessons for others, and that helps models learn faster and work on new problems they never saw before.
Try it yourself, play with the data, see what new tasks the models can do now.
Read article comprehensive review in Paperium.net:
Instruction Tuning with GPT-4
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