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EELBERT: Tiny Models through Dynamic Embeddings

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EELBERT is an approach for compressing transformer-based models like BERT while preserving accuracy in downstream tasks. It replaces the input embedding layer with dynamic embedding computations, reducing model size. Evaluations on the GLUE benchmark demonstrate the effectiveness of this approach.

EELBERT: Tiny Models through Dynamic Embeddings

EELBERT: Tiny Models through Dynamic Embeddings

Introducing EELBERT, an innovative approach for compressing transformer-based models like BERT while minimizing the impact on downstream task accuracy. By replacing the input embedding layer with dynamic on-the-fly embedding computations, we significantly reduce the model size. Empirical evaluation on the GLUE benchmark validates the effectiveness of our BERT variants.

Evolve Your Company with AI

Stay competitive and leverage AI to your advantage with EELBERT. Discover how AI can redefine your way of work and unlock new opportunities for your business.

Identify Automation Opportunities

Locate key customer interaction points that can benefit from AI automation. Streamline your processes and enhance customer experiences with intelligent solutions.

Define KPIs

Ensure your AI endeavors have measurable impacts on your business outcomes. Define key performance indicators to track the success and effectiveness of your AI initiatives.

Select an AI Solution

Choose AI tools that align with your specific needs and offer customization options. Find the right solution that fits your business requirements and maximizes the value of AI.

Implement Gradually

Start with a pilot project to test the waters and gather data. Gradually expand the usage of AI in your organization, making informed decisions based on the insights gained.

For AI KPI management advice, connect with us at hello@itinai.com. Stay updated on leveraging AI by following our Telegram channel t.me/itinainews or Twitter @itinaicom.

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Vladimir Dyachkov, Ph.D
Editor-in-Chief itinai.com

I believe that AI is only as powerful as the human insight guiding it.

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