Low-Rank Adaptation for Foundation Models: A Comprehensive Review
PositiveArtificial Intelligence
The article reviews the significant advancements in foundation models, which are large-scale neural networks that have transformed artificial intelligence across various fields like natural language processing and computer vision. It highlights the challenges posed by their massive parameter counts, which can reach billions or trillions, making adaptation to specific tasks difficult. Understanding these challenges is crucial as it paves the way for more efficient applications of AI in real-world scenarios.
— Curated by the World Pulse Now AI Editorial System



