What is Transfer Learning? An Introduction.
In this Code to Care video devoted to the topic of AI model distillation, I have a special guest, Nikolai Michko explaining the concept, the problems with large AI models, and how smaller models can be trained using knowledge from larger models. Join us to explore the challenges and solutions in AI model deployment. Large AI models, while powerful, are often impractical due to their high costs, extensive resource requirements, and significant energy consumption.
The video emphasizes the benefits of smaller models, which are faster, cheaper, and more energy-efficient. These models can be deployed on a variety of devices, from smartphones to edge devices, without the need for extensive computational resources. This not only reduces costs but also makes AI more accessible and practical for everyday use.
Whether you're a data scientist, a machine learning engineer, or simply curious about the latest advancements in AI, this video offers valuable insights into how model distillation can bridge the gap between large and small models, making AI more efficient and deployable in a variety of settings. Join me and my guest experts as we explore the future of AI optimization and discover how model distillation is reshaping the landscape of machine learning.
Leave me a comment if you have new topics I should be discussing.
Check out Jessica on LinkedIn: https://www.linkedin.com/in/jessica-jowdy-59809ab0/
Check out Nicholai on LinkedIn: https://www.linkedin.com/in/nmitchko/
Timestamps
0:00 – 0:50 Introduction of Nikolai Michko and Jessica Jowdy
0:51 – 1:10 Explanation of AI model distillation by Nikolai Michko
1:11 – 1:40 The problem with large AI models
1:41 – 2:06 The benefits of smaller AI models
2:07 – 3:45 The process of distilling knowledge from large to small models
3:45 – 4:00 Don commercial plug in
4:00 – 5:25 The application and benefits of model distillation
5:25 – 5:48 Don conclusion
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ABOUT INTERSYSTEMS
Established in 1978, InterSystems Corporation is the leading provider of data technology for extremely critical data in healthcare, finance, and logistics. It’s cloud-first data platforms solve interoperability, speed, and scalability problems for large organizations around the globe. InterSystems Corporation is ranked by Gartner, KLAS, Forrester and other industry analysts as the global leader in Data Access and Interoperability. InterSystems is the global market leader in Healthcare and Financial Services.
Website: https://www.intersystems.com/
Youtube: https://www.youtube.com/@InterSystemsCorp
LinkedIn: https://www.linkedin.com/company/intersystems/
Twitter: https://twitter.com/InterSystems
#llm #transferlearning #distillation #codetocare
In this Code to Care video devoted to the topic of AI model distillation, I have a special guest, Nikolai Michko explaining the concept, the problems with large AI models, and how smaller models can be trained using knowledge from larger models. Join us to explore the challenges and solutions in AI model deployment. Large AI models, while powerful, are often impractical due to their high costs, extensive resource requirements, and significant energy consumption.
The video emphasizes the benefits of smaller models, which are faster, cheaper, and more energy-efficient. These models can be deployed on a variety of devices, from smartphones to edge devices, without the need for extensive computational resources. This not only reduces costs but also makes AI more accessible and practical for everyday use.
Whether you’re a data scientist, a machine learning engineer, or simply curious about the latest advancements in AI, this video offers valuable insights into how model distillation can bridge the gap between large and small models, making AI more efficient and deployable in a variety of settings. Join me and my guest experts as we explore the future of AI optimization and discover how model distillation is reshaping the landscape of machine learning.
Leave me a comment if you have new topics I should be discussing.
Check out Jessica on LinkedIn: https://www.linkedin.com/in/jessica-jowdy-59809ab0/
Check out Nicholai on LinkedIn: https://www.linkedin.com/in/nmitchko/
Timestamps
0:00 – 0:50 Introduction of Nikolai Michko and Jessica Jowdy
0:51 – 1:10 Explanation of AI model distillation by Nikolai Michko
1:11 – 1:40 The problem with large AI models
1:41 – 2:06 The benefits of smaller AI models
2:07 – 3:45 The process of distilling knowledge from large to small models
3:45 – 4:00 Don commercial plug in
4:00 – 5:25 The application and benefits of model distillation
5:25 – 5:48 Don conclusion
—
ABOUT INTERSYSTEMS
Established in 1978, InterSystems Corporation is the leading provider of data technology for extremely critical data in healthcare, finance, and logistics. It’s cloud-first data platforms solve interoperability, speed, and scalability problems for large organizations around the globe. InterSystems Corporation is ranked by Gartner, KLAS, Forrester and other industry analysts as the global leader in Data Access and Interoperability. InterSystems is the global market leader in Healthcare and Financial Services.
Website: https://www.intersystems.com/
Youtube: https://www.youtube.com/@InterSystemsCorp
LinkedIn: https://www.linkedin.com/company/intersystems/
Twitter: https://twitter.com/InterSystems
#llm #transferlearning #distillation #codetocare
