MTA: A Merge-then-Adapt Framework for Personalized Large Language Model
Analysis
The article introduces a new framework, MTA (Merge-then-Adapt), for personalizing large language models. The focus is on adapting LLMs to individual user needs. The source is ArXiv, indicating a research paper.
Key Takeaways
Reference
“”