C
18 days ago
How do you fine-tune large language models for specific domains? What are the key considerations?
Large language model fine-tuning
Natural Language Processing
llmsfine-tuning
C
18 days ago
LoRA (Low-Rank Adaptation) is a game-changer for efficient fine-tuning of large models.
W
18 days ago
Data quality is crucial - clean, domain-specific data often matters more than quantity.
B
17 days ago
Instruction tuning and RLHF (Reinforcement Learning from Human Feedback) are essential for alignment.
M
17 days ago
Consider the computational costs - fine-tuning large models requires significant resources.