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Tobias Macey
AI Engineering Podcast
This show is your guidebook to building scalable and maintainable AI systems. You will learn how to architect AI applications, apply AI to your work, and the considerations involved in building or customizing new models. Everything that you need to know to deliver real impact and value with machine learning and artificial intelligence.
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Ratings & Reviews
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4.2 stars from 5 ratings
Practical AI
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“Is the title.
How much clearer could Tobias be?
What is with the 1 Star review?
Tobias always makes expectations clear and delivers in a way that only somebody who has made his living in the trenches of data, AI, and Python.”
accidentalguru via Apple Podcasts ·
United States of America ·
03/13/23
Recent Episodes
Summary
Machine learning workflows have long been complex and difficult to operationalize. They are often characterized by a period of research, resulting in an artifact that gets passed to another engineer or team to prepare for running in production. The MLOps category of tools have tried to...
Published 11/11/24
Published 11/11/24
Summary
With the growth of vector data as a core element of any AI application comes the need to keep those vectors up to date. When you go beyond prototypes and into production you will need a way to continue experimenting with new embedding models, chunking strategies, etc. You will also need a...
Published 11/11/24
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