Prefix Tuning for Large Language Model (LLM) Explained

This course covers Prefix Tuning in LLM model. Prefix tuning aims to optimize pre-trained models for specific downstream applications. It involves using a continuous virtual token instead of discrete word tokens to provide additional information to the model. These task-specific embeddings help the large language model specialize in specific domain tasks, particularly in natural language generation tasks for both encoder-decoder and decoder-only architectures. The concept of prefix tuning is part of the broader field of parameter-efficient fine-tuning, which focuses on reusing pre-trained mod…