CVPR2024: Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models
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Updated
Jul 4, 2024 - Python
CVPR2024: Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models
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.
[WACV 2024] MACP: Efficient Model Adaptation for Cooperative Perception.
Code for [ICML 2025] Sketch to Adapt: Fine-Tunable Sketches for Efficient LLM Adaptation
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