DeepMind's Flamingo: Visual & Language Communication Combined
DeepMind recently released a combined visual and language model (a VLM) called Flamingo, capable of a variety of tasks taking text and image input simultaneously.
Created on May 5|Last edited on May 5
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DeepMind announced last week a model they've been working on recently: Flamingo. This impressive model combines the strengths of visual models and language models into one combined model able to process both simultaneously on a variety of tasks.
With only a few initial messages to give it a pattern to follow, Flamingo is able to answer further questions. Flamingo is able to complete many different kinds of tasks thanks to the user's provided initial prompts, including describing pictures, counting objects, reading, and more.
Flamingo is a promising model that could be a valuable asset to things like virtual assistants, where it could be beneficial to be able to provide a live image feed through a camera while asking it questions (particularily in cases such as people with impaired vision).
The blog post detailing Flamingo is available here, and the paper full of detailed research is available here.
How does DeepMind's Flamingo work?
Flamingo is a combination of a language model and a visual model, able to take in image and text simultaneously thanks to its interesting architecture. The image input is first taken and processed seperately, then fed into the main body of the model alongside the processed text input, allowing the model to understand both together.
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