Smarter AI Training with Few-Shot Natural Language Tasks Post date October 2, 2025 Post author By Model Tuning Post categories In adamix, efficient-ai-training, few-shot-learning, low-rank-adaptation, mixture-of-experts-ai, model-weight-averaging, pre-trained-language-models, stochastic-routing
Beating Full Fine-Tuning with Just 0.2% of Parameters Post date October 2, 2025 Post author By Model Tuning Post categories In adamix, efficient-ai-training, few-shot-learning, low-rank-adaptation, mixture-of-experts-ai, model-weight-averaging, pre-trained-language-models, stochastic-routing
The Role of Consistency and Sharing in Efficient Fine-Tuning Post date October 1, 2025 Post author By Model Tuning Post categories In adamix, efficient-ai-training, few-shot-learning, low-rank-adaptation, mixture-of-experts-ai, model-weight-averaging, pre-trained-language-models, stochastic-routing
Smarter Fine-Tuning for NLU and NLG Tasks Post date October 1, 2025 Post author By Model Tuning Post categories In adamix, efficient-ai-training, few-shot-learning, low-rank-adaptation, mixture-of-experts-ai, model-weight-averaging, pre-trained-language-models, stochastic-routing
How Mixture-of-Adaptations Makes Language Model Fine-Tuning Cheaper and Smarter Post date October 1, 2025 Post author By Model Tuning Post categories In adamix, efficient-ai-training, few-shot-learning, low-rank-adaptation, mixture-of-experts-ai, model-weight-averaging, pre-trained-language-models, stochastic-routing
How to Improve AI Models While Training Only 0.1% of Parameters Post date October 1, 2025 Post author By Model Tuning Post categories In adamix, efficient-ai-training, few-shot-learning, low-rank-adaptation, mixture-of-experts-ai, model-weight-averaging, pre-trained-language-models, stochastic-routing
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