Prompt Engineering BERT NLP

Prompt-Engineering-BERT-NLP

Implement prompt tuning on a GPT-2 small model using PyTorch and fine-tune it on three tasks: summarization, question answering, and machine translation.

The original links to the jupyter notebooks are attacked bwelow which will redirect you to kaggle notebooks.

• Question Answering - https://www.kaggle.com/code/adityaraghuvanshi999/qa-gpt2-softprompt
• Summarize - https://www.kaggle.com/code/akshitaaditya/soft-prompt-gpt2-summarise
• Translation - https://www.kaggle.com/code/akshitaaditya/softprompt-gpt2-translation

These will give you access to Datasets, Contact the author for more details / issues.