New Methods for Efficient Finetuning of LLMs!
Theophano Mitsa, Ph.D.’s Post
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xLSTM: Extended Long Short-Term Memory https://zurl.co/8Rc8 << It addresses some limitations of #LSTM by introducing exponential gating and modified memory structures. Exponential gating allows the model to revise what information it stores more effectively
xLSTM: Extended Long Short-Term Memory
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The fine-tuning of LLMs, over the past couple of years, has matured enough that review papers such as this one (link below) have been published. If you're new to the scene, have a look at Chapter 6, where PEFT, LoRA, QLoRA, and some other methods are explained. https://lnkd.in/ebzfbUZY #FineTuning #LLM
arxiv.org
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