This model uses a perceiver resampler with a depth of 1 + a tiny palm to efficiently learn the features behind the images and then map them to the same space as the big model.

With the rising human-like precision of Large Language Models (LLMs) in numerous tasks, their utilization in a variety of real-world applications is becoming more prevalent. Several studies have shown ...

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