Cerbrec at MLOps World Conference

Past

MLOps World is an international community group of practitioners trying to better understand the science of deploying ML models into live production environments. Get ready for two action-packed days of engaging sessions on machine learning in production across various topics such as MLOps challenges, open source integrations, scaling and deploying ML models, LLMops and insightful case studies spanning multiple industries. MLOps World will help you put machine learning models into production environments; responsibly, effectively, and efficiently.

Cerbrec is invited to be an exhibitor at MLOps World Conference 2023 and we would like to show how Cerbrec Graphbook can help AI researchers visually unbox and customize LLMs through a drag-and-drop experience.

  • Visit Cerbrec

  • Startup corner

  • Wednesday, October 25st

  • 11:00 AM – 5:00 PM

  • Thursday, October 26st

  • 11:00 AM – 5:00 PM

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Cerbrec Graphbook: AI Modeling, Made Intuitive

Cerbrec Graphbook

AI Modeling, Made Intuitive

The deep learning framework that brings visibility and intelligent guidance to researchers.

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Focus on diagramming model architecture

Graphbook expands the value of pre-trained LLMs and deep learning models.


Essential for Building In-House AI

Enhance Model Visibility

Graphbook lowers technical barriers and empowers researchers to build LLMs and deep learning models with clarity, visualizing every component. Intelligent diagramming reduces the risk of error-prone “model surgeries” when customizing AI model architecture with a drag-and-drop experience.

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Improve Sharing and Collaboration

Graphbook makes it easier to explain and examine your AI models with our intuitive diagrams. Effortlessly share blueprints and discuss model steps with teams and community without stepping through code.

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Prioritize Model Safety

Graphbook’s visual interface shines a light on black box AI, facilitating the troubleshooting of output errors in production and ensuring model safety with systematic fixes, instead of hard-coded rules that live outside the model.

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Upcoming events

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