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| title: DarkUnitLab | |
| emoji: ⚡ | |
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| # DarkUnitLab | |
| Research and engineering for reliable, efficient AI systems. | |
| We focus on the path from model experimentation to practical deployment: | |
| training, evaluation, quantization, inference, and the systems that connect them. | |
| ## Focus Areas | |
| - **Model Training and Adaptation** | |
| Parameter-efficient fine-tuning, data preparation, reproducible experiments, | |
| and language and speech model adaptation. | |
| - **Inference and AI Infrastructure** | |
| Quantization, model serving, runtime compatibility, and deployment across | |
| GPUs and Ascend NPUs. | |
| - **Multimodal Intelligence** | |
| Vision-language models, video understanding, evidence-grounded reasoning, | |
| and retrieval-augmented generation. | |
| - **Language and Speech** | |
| Cantonese and multilingual language modeling, automatic speech recognition, | |
| and evaluations that reflect real-world usage. | |