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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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Author (1)
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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Current developments

At the time of writing this book, the Technology Innovation Institute (https://www.tii.ae/) has just released its largest model – Falcon 170B. It is the largest fully open source model that is similar to the GPT-3.5 model. It shows the current direction of the research in large language models.

Although GPT-4 exists, which is larger by a factor of 1,000, we can develop very good software with moderately large models such as GPT-3.5. This brings us to some of the current topics that we, as a community, need to discuss. One of them is the energy sustainability of these models. Falcon-170B requires 400 GB of RAM (eight times that of an Nvidia A100 GPU) to execute (according to Hugging Face). We do not know how much hardware the GPT-4 model needs. The amount of electricity that it takes and the resources that it uses must be on par with what we get as value from that model.

We also approach limits to the conventional computational power when it comes...

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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