Mamba vs FLAN-T5

Mamba is a deep learning architecture introduced in 2023 by researchers Albert Gu and Tri Dao that utilizes selective state space models (SSMs) for natural language processing. Unlike traditional Transformer models that require quadratic computational complexity for sequence length, Mamba achieves linear-time inference. It accomplishes this through a hardware-aware algorithm that allows the model...

FLAN-T5 is a series of instruction-tuned large language models released by Google in late 2022. It is an enhanced version of the original T5 architecture, fine-tuned on a mixture of over 1,800 natural language processing tasks compiled into the Flan collection. This extensive instruction tuning allows the model to generalize more effectively to unseen tasks using zero-shot and few-shot prompting t...