DSCE Aventus 2.0 - Generative AI - Mamba vs Transformer as LLM Architectures

WEBINAR LINK :-

This Webinar is in support of Aventus 2.0 hackathon organized by Dept of AI ML at Dayanand Sagar College of Engineering. All audience from this hackathon as well as entire CellStrat community is welcome to attend this webinar.

Google Meet Link : https://meet.google.com/ixd-xwnw-jrz

ABOUT THIS WORKSHOP :-

Topic :- Generative AI - Mamba vs Transformer as LLM Architectures

Presenter - Poulami Sarkar, AI Researcher

Mamba is a new LLM architecture that integrates the Structured State Space sequence (S4) model to manage lengthy data sequences. Combining the best features of recurrent, convolutional, and continuous-time models, S4 can effectively and efficiently simulate long-term dependencies.

The Transformer-based LLMs, such as GPT-4, have become dominant for several natural language tasks. However longer sequences have long been a thorn in the side of transformers as they significantly hamper their efficiency.

This deficiency is where Mamba excels. Namely, mamba can process lengthy sequences more quickly than transformers and does so more simply due to its unique architecture.

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