Summary of Minor Sft Loss For Llm Fine-tune to Increase Performance and Reduce Model Deviation, by Shiming Xie et al.
Minor SFT loss for LLM fine-tune to increase performance and reduce model deviationby Shiming Xie,…
Minor SFT loss for LLM fine-tune to increase performance and reduce model deviationby Shiming Xie,…
Fine-Tuning and Deploying Large Language Models Over Edges: Issues and Approachesby Yanjie Dong, Haijun Zhang,…
AI-Based IVRby Gassyrbek Kosherbay, Nurgissa ApbazFirst submitted to arxiv on: 20 Aug 2024CategoriesMain: Artificial Intelligence…
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TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and Competitionby Tianwei Lin, Jiang Liu, Wenqiao Zhang,…
Using ChatGPT to Score Essays and Short-Form Constructed Responsesby Mark D. ShermisFirst submitted to arxiv…
Antidote: Post-fine-tuning Safety Alignment for Large Language Models against Harmful Fine-tuningby Tiansheng Huang, Gautam Bhattacharya,…
AI Managed Emergency Documentation with a Pretrained Modelby David Menzies, Sean Kirwan, Ahmad AlbarqawiFirst submitted…
Adaptive Layer Selection for Efficient Vision Transformer Fine-Tuningby Alessio Devoto, Federico Alvetreti, Jary Pomponi, Paolo…
xGen-MM (BLIP-3): A Family of Open Large Multimodal Modelsby Le Xue, Manli Shu, Anas Awadalla,…