Language & LLMs
What Is Prompt Tuning?
Prompt tuning is a parameter-efficient technique that learns a small set of continuous vectors, called a soft prompt, added to the input. The main model weights remain frozen, and only these vectors are optimized for a task. It requires far fewer trainable parameters than full fine-tuning.
Further reading
Read more about prompt tuning — articles and blogs from around the web: