How to Fine‑Tune Translation Models on Kubernetes Docs with LoRA

This article walks through the complete process of fine‑tuning both domain‑specific and large‑language translation models on Kubernetes documentation, covering data preparation, model selection, training configurations, the differences between Seq2Seq and CausalLM, and how LoRA can dramatically reduce resource usage while improving performance.

AIFine-tuningLLM

0 likes · 7 min read

How to Fine‑Tune Translation Models on Kubernetes Docs with LoRA

DataFunTalk

Mar 16, 2022 · Artificial Intelligence

Parameter-Efficient Sparsity Training for the PLUG Large-Scale Language Model

This article presents the PLUG 270‑billion‑parameter Chinese language model and introduces a parameter‑efficient sparsity training (PST) framework that combines unstructured and structured pruning with low‑rank decomposition to dramatically reduce model size while preserving downstream performance.

Deep LearningLarge Language ModelsPLUG

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Parameter-Efficient Sparsity Training for the PLUG Large-Scale Language Model