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You're reading from  Machine Learning Infrastructure and Best Practices for Software Engineers

Product typeBook
Published inJan 2024
Reading LevelIntermediate
PublisherPackt
ISBN-139781837634064
Edition1st Edition
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Miroslaw Staron
Miroslaw Staron
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Miroslaw Staron

Miroslaw Staron is a professor of Applied IT at the University of Gothenburg in Sweden with a focus on empirical software engineering, measurement, and machine learning. He is currently editor-in-chief of Information and Software Technology and co-editor of the regular Practitioner's Digest column of IEEE Software. He has authored books on automotive software architectures, software measurement, and action research. He also leads several projects in AI for software engineering and leads an AI and digitalization theme at Software Center. He has written over 200 journal and conference articles.
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Deploying a code completion model as an extension

So far, we’ve learned how to deploy models online and on the Hugging Face hub. These are good methods and provide us with the ability to create a UI for our models. However, these are standalone tools that require manual input and provide an output that we need to use manually – for example, paste into another tool or save to disk.

In software engineering, many tasks are automated and many modern tools provide an ecosystem of extensions and add-ins. GitHub Copilot is such an add-in to Visual Studio 2022 and an extension to Visual Studio Code – among other tools. ChatGPT is both a standalone web tool and an add-in to Microsoft’s Bing search engine.

Therefore, in the last part of this chapter, we’ll package our models as an extension to a programming environment. In this section, we learn how to create an extension to complete code, just like GitHub CoPilot. Naturally, we won’t use the CodeX...

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Machine Learning Infrastructure and Best Practices for Software Engineers
Published in: Jan 2024Publisher: PacktISBN-13: 9781837634064

Author (1)

author image
Miroslaw Staron

Miroslaw Staron is a professor of Applied IT at the University of Gothenburg in Sweden with a focus on empirical software engineering, measurement, and machine learning. He is currently editor-in-chief of Information and Software Technology and co-editor of the regular Practitioner's Digest column of IEEE Software. He has authored books on automotive software architectures, software measurement, and action research. He also leads several projects in AI for software engineering and leads an AI and digitalization theme at Software Center. He has written over 200 journal and conference articles.
Read more about Miroslaw Staron