In this video we look into text summarization. We apply the albert large model to a piece of text and talk about the different steps required to do summarization. This is more of an overview not a complete explanation of the technology.
In this video series, I try to challenge myself with the Advent of Code trials. Each solution will be published to Github, and I hope you will learn something from my coding mistakes and perhaps send some code my way on how you have done these challenges. I know by reading code, so this is…
We solve today’s challenge at the advent of code 2020. Come join us and have some fun. Git repository: https://ift.tt/3qha6xP Please follow me on twitter Tweets by kalaspuffar Learn the basics of Java programming and software development in 5 online courses from Duke University. https://ift.tt/2QkqKvO My merchandise: https://ift.tt/3aqGTZF Or visit my blog at: https://ift.tt/3bF6D4l Outro…
We look into how to build docker images for performance. Talk about the compromises between speed and size. Github Repository https://github.com/kalaspuffar/docker-java-performance Please follow me on twitter Tweets by kalaspuffar Outro music: Danomate – http://danomate.com – https://www.youtube.com/user/danomate1
I looked into building tensorflow from source on Windows. The reason, TensorRT released and I wanted to test the new functionallity. I got tensorflow to build after some tribulations using the latest source release. Sadly I never got the new functionallity of TensorRT up and running but I did headway at least.