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SE Radio 666: Eran Yahav on the Tabnine AI Coding Assistant

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Manage episode 479833920 series 215
Content provided by SE-Radio Team. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by SE-Radio Team or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Eran Yahav, Professor of Computer Science at Technion, Israel, and CTO of Tabnine, speaks with host Gregory M. Kapfhammer about the Tabnine AI coding assistant. They discuss how the design and implementation allows software engineers to use code completion and perform tasks such as automated code review while still maintaining developer privacy. Eran and Gregory also explore how research in the field of natural language processing (NLP) and large language models (LLMs) has informed the features in Tabnine.

Brought to you by IEEE Computer Society and IEEE Software magazine.

  continue reading

1023 episodes

Artwork
iconShare
 
Manage episode 479833920 series 215
Content provided by SE-Radio Team. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by SE-Radio Team or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Eran Yahav, Professor of Computer Science at Technion, Israel, and CTO of Tabnine, speaks with host Gregory M. Kapfhammer about the Tabnine AI coding assistant. They discuss how the design and implementation allows software engineers to use code completion and perform tasks such as automated code review while still maintaining developer privacy. Eran and Gregory also explore how research in the field of natural language processing (NLP) and large language models (LLMs) has informed the features in Tabnine.

Brought to you by IEEE Computer Society and IEEE Software magazine.

  continue reading

1023 episodes

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