The author states: Among various effective LLM fine-tuning methods, LoRA remains his preferred choice. LoRA (Low-Rank Adaptation) is a popular technique for fine-tuning LLMs (Large Language Models), initially proposed by researchers from Microsoft in the paper “LORA: LOW-RANK ADAPTATION OF LARGE LANGUAGE MODELS”. Unlike other techniques, LoRA does not adjust all parameters of the neural … Read more
MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering audiences such as NLP graduate students, university professors, and corporate researchers. The Community’s Vision is to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning, especially for beginners. Reprinted from … Read more
Excerpt from lightning.ai Author: Sebastian Raschka Compiled by Machine Heart Editor: Chen Ping The author states: Among various effective LLM fine-tuning methods, LoRA remains his top choice. LoRA (Low-Rank Adaptation) is a popular technique for fine-tuning LLMs (Large Language Models) that was first proposed by researchers from Microsoft in the paper “LORA: LOW-RANK ADAPTATION OF … Read more