zero-shot-multitask-demonstrated-gpt2
IN premise — entries/2026/06/21/wiki-Prompt_engineering-chunk-2.md
Created 2026-06-21T09:50:10+00:00
Zero-shot multitask learning was demonstrated with GPT-2 by Radford et al. (2019), showing language models can perform downstream tasks without parameter modification
Summary
This was a key early result showing that a pre-trained language model like GPT-2 could be handed a new task simply through a written prompt, with no retraining or parameter adjustments required. It means the system can rely on a single general-purpose model to handle many different jobs, rather than needing a separately tuned model for each one.