CVPR2024: Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models
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Updated
Jul 4, 2024 - Python
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model-adaptation
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Unlock the potential of finetuning Large Language Models (LLMs). Learn from industry expert, and discover when to apply finetuning, data preparation techniques, and how to effectively train and evaluate LLMs.
machine-learning data-scientist large-language-models model-training-and-evaluation finetuning-large-language-models data-preparation-for-nlp fine-tune-llms nlp-enthusiast model-adaptation advanced-nlp-techniques language-model-fine-tuning adaptive-models
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Oct 20, 2023 - Jupyter Notebook
[WACV 2024] MACP: Efficient Model Adaptation for Cooperative Perception.
computer-vision perception autonomous-vehicles object-tracking cooperative-perception wacv cvf-conference wacv2024 parameter-efficient-fine-tuning model-adaptation
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May 3, 2024 - Python
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