Edward Hu
BuilderNYC
@edwardjhu
Researcher at Microsoft. Inventor of LoRA and co-inventor of muP — enabling efficient fine-tuning and hyperparameter transfer for large models.
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LoRA
Low-Rank Adaptation of Large Language Models. The most widely adopted parameter-efficient fine-tuning method, reducing trainable parameters by 10,000x.
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AI Suggested Papers
Papers that may have inspired your projects (auto-detected by domain & keyword analysis)
For LoRA:
Language Models are Few-Shot Learners
NeurIPS 2020 · 2020 · 18,500 citations
Llama 2: Open Foundation and Fine-Tuned Chat Models
arXiv preprint · 2023 · 7,200 citations
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
NAACL 2019 · 2019 · 108,124 citations