Fine-Tuning Methods
Explore different approaches to fine-tuning Large Language Models for specific tasks and domains.
Complete
Full Fine-Tuning
Complete retraining of all model parameters on domain-specific data.
GPT-3LLaMA 2Mistral
Parameter-Efficient
LoRA (Low-Rank Adaptation)
Parameter-efficient fine-tuning using low-rank matrices.
LLaMA 2MistralFalcon
Parameter-Efficient
Prompt Tuning
Learning continuous prompt embeddings for task adaptation.
T5BLOOMGPT-3
Task-Specific
Instruction Tuning
Fine-tuning on instruction-response pairs for better task following.
AlpacaVicunaChatGLM