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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Updated
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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Updated
May 3, 2024 - Python
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