text:   Learners",2,"[""🎉 New paper 🎉 We show that language models are few-shot learners even if they have far less than 175B parameters. Our method performs similar to @OpenAI's GPT-3 on SuperGLUE after training on 32 examples with just 0.1% of its parameter count: <LINK> #NLProc <LINK>"", 'This is achieved by combining PET (https://t.co/YCrBnggof7) with pretrained ALBERT. Key factors for strong performance include concurrently using multiple ""task descriptions"" and using labeled data to perform actual parameter updates.']",20,09,482