Efficient Multimodal Learning Using Pre-Trained Models on a Single GPU

This is a Plain English Papers summary of a research paper called Efficient Multimodal Learning Using Pre-Trained Models on a Single GPU. If you like these kinds of analysis, you should join AImodels.fyi or follow me on Twitter.

Overview

T…


This content originally appeared on DEV Community and was authored by Mike Young

This is a Plain English Papers summary of a research paper called Efficient Multimodal Learning Using Pre-Trained Models on a Single GPU. If you like these kinds of analysis, you should join AImodels.fyi or follow me on Twitter.

Overview

  • The goal of multimodal alignment is to learn a single shared latent space between different input modalities, like images and text.
  • Current powerful multimodal models require massive datasets and computational resources to train, making them inaccessible for many practical use cases.
  • The authors propose FuseMix, a multimodal augmentation technique that can leverage pre-trained unimodal encoders to create effective multimodal models with much less data and compute.

Plain English Explanation

The researchers are working on a problem called multimodal alignment. The idea is to create a single "space" or representation that can capture the meanings and relationships between different types of input, like images and text. This shared space allows you to do ...

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This content originally appeared on DEV Community and was authored by Mike Young


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APA

Mike Young | Sciencx (2024-11-12T00:16:25+00:00) Efficient Multimodal Learning Using Pre-Trained Models on a Single GPU. Retrieved from https://www.scien.cx/2024/11/12/efficient-multimodal-learning-using-pre-trained-models-on-a-single-gpu/

MLA
" » Efficient Multimodal Learning Using Pre-Trained Models on a Single GPU." Mike Young | Sciencx - Tuesday November 12, 2024, https://www.scien.cx/2024/11/12/efficient-multimodal-learning-using-pre-trained-models-on-a-single-gpu/
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Mike Young | Sciencx Tuesday November 12, 2024 » Efficient Multimodal Learning Using Pre-Trained Models on a Single GPU., viewed ,<https://www.scien.cx/2024/11/12/efficient-multimodal-learning-using-pre-trained-models-on-a-single-gpu/>
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Mike Young | Sciencx - » Efficient Multimodal Learning Using Pre-Trained Models on a Single GPU. [Internet]. [Accessed ]. Available from: https://www.scien.cx/2024/11/12/efficient-multimodal-learning-using-pre-trained-models-on-a-single-gpu/
CHICAGO
" » Efficient Multimodal Learning Using Pre-Trained Models on a Single GPU." Mike Young | Sciencx - Accessed . https://www.scien.cx/2024/11/12/efficient-multimodal-learning-using-pre-trained-models-on-a-single-gpu/
IEEE
" » Efficient Multimodal Learning Using Pre-Trained Models on a Single GPU." Mike Young | Sciencx [Online]. Available: https://www.scien.cx/2024/11/12/efficient-multimodal-learning-using-pre-trained-models-on-a-single-gpu/. [Accessed: ]
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» Efficient Multimodal Learning Using Pre-Trained Models on a Single GPU | Mike Young | Sciencx | https://www.scien.cx/2024/11/12/efficient-multimodal-learning-using-pre-trained-models-on-a-single-gpu/ |

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