Symbolic AI vs Machine Learning in Natural Language Processing Symbolic AI, a branch of artificial intelligence, specializes in symbol manipulation to perform tasks such as natural language processing (NLP), knowledge representation, and planning. These algorithms enable machines to parse and understand human language, manage complex data in knowledge bases, and devise strategies to achieve specific […]
2106 09685 LoRA: Low-Rank Adaptation of Large Language Models
LoRA: Low-Rank Adaptation for LLMs This idea was first proposed in [6], where we see that authors freeze all model parameters and train only a small set of prefix token vectors added to the model’s input layer for each task. Beyond prefix tuning as it was originally proposed, several works have extended this idea. For […]