Tag Archives: peft
Summary Of Adapter Based Performance Efficient Fine Tuning (PEFT) Techniques For Large Language Models
The two most common transfer learning techniques in NLP were feature-based transfer (generating input text embedding from a pre-trained large model and using it as a feature in your custom model) and fine-tuning (fine tuning the pre-trained model on custom … Continue reading
Posted in performance efficient fine tuning, Uncategorized
Tagged adapters, gpt, large language model, llama, lora, machine learning, nlp, peft
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