Summary of Sparsegrad: a Selective Method For Efficient Fine-tuning Of Mlp Layers, by Viktoriia Chekalina et al.
SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layersby Viktoriia Chekalina, Anna Rudenko, Gleb…
SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layersby Viktoriia Chekalina, Anna Rudenko, Gleb…
LoRTA: Low Rank Tensor Adaptation of Large Language Modelsby Ignacio Hounie, Charilaos Kanatsoulis, Arnuv Tandon,…
Abstractive Summarization of Low resourced Nepali language using Multilingual Transformersby Prakash Dhakal, Daya Sagar BaralFirst…
HM3: Heterogeneous Multi-Class Model Mergingby Stefan HackmannFirst submitted to arxiv on: 27 Sep 2024CategoriesMain: Computation…
SC-Phi2: A Fine-tuned Small Language Model for StarCraft II Macromanagement Tasksby Muhammad Junaid Khan, Gita…
Cross-Domain Content Generation with Domain-Specific Small Language Modelsby Ankit Maloo, Abhinav GargFirst submitted to arxiv…
DiSHA: Dimension-Sharding Adaptation of Large Language Models with Fast Convergence and Fast Computationby Jiale KangFirst…