Скачать или смотреть Explainability Assistant Demo

In this product demo of the Explainability Assistant, we explore how this experimental tool addresses the challenges of explainability in AI.

00:20 - Introduction
02:04 - System architecture
05:55 - Example scenario

We begin by discussing the importance of transparency in AI predictions and the problem of black-box models, highlighting why explainability is crucial for trust and decision-making. Then, we take a deep dive into the system architecture, explaining how the front-end, back-end, and LLM integrations work together to provide a seamless user experience. Finally, we demonstrate the assistant in action with a real-world energy consumption use case, showing how it simplifies data exploration, model interpretation, and results presentation.

Watch to see how the Explainability Assistant makes complex AI models more accessible and understandable for professionals across industries.

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