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Designing with AI explores topics centered on building/designing apps that integrate state of the art AI models and AI agents. Each post is a deep dive into a specific topic/area, with references and sample code as appropriate (example on LLM reliability) .

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If you are interested in practical updates on topics at the intersection of HCI (interface design, visualization) and applied AI, consider subscribing! So far, I have written on topics covering Building with LLMs, Image Generation Models, Deep Learning for Code Generation, ML in on Android, Extractive Text Summarization etc.

About the Author

Victor Dibia is a Principal Research Software Engineer at Microsoft Research where his work focuses on Generative AI. His research has been published at conferences such as EMNLP, AAAI, and CHI and has received multiple best paper awards. His work has also been featured in outlets such as the Wall Street Journal and VentureBeat. He is an IEEE Senior member, a Google Certified Professional ( Data Engineer, Cloud Architect ) and currently a Google Developer Expert in Machine Learning.

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Organized thoughts on building/designing apps that integrate state of the art AI agents.

People

Hacker, Research Scientist (Microsoft Research), Author working on and writing about Generative AI, Agents. Core maintainer for the AutoGen Multi-Agent Framework (35k Stars on GitHub). Previously at Cloudera, IBM Research. All views are my own.