DeGAML-LLM: Decoupling Generalization and Adaptation in Meta-Learning for Large Language Models

🚀 Enhance large language models with DeGAML-LLM, a meta-learning approach for effective generalization and adaptation in diverse tasks.

Literature review of deep meta learning and deep multi-task learning, some fun toy implementations, and my work for Stanford's CS 330 (Deep Multi-task and Meta Learning)