Using LLMs To Evaluate Code Software Engineering Institute (SEI) Webcast Series podcast

Artwork

Tech Cybersecurity Securecoding Softwarearchitecture Softwaredevelopment Softwareengineering Carnegie Mellon University Software Engineering Institute SEI Members of Technical Staff Video Podcasting Education

内容由Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff提供。所有播客内容（包括剧集、图形和播客描述）均由 Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品，您可以按照此处概述的流程进行操作https://zh.player.fm/legal。

Software Engineering Institute (SEI) Webcast Series « »
Using LLMs to Evaluate Code

2M ago 1:02:10

分享

MP4•单集首页

内容由Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff提供。所有播客内容（包括剧集、图形和播客描述）均由 Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品，您可以按照此处概述的流程进行操作https://zh.player.fm/legal。

Finding and fixing weaknesses and vulnerabilities in source code has been an ongoing challenge. There is a lot of excitement about the ability of large language models (LLMs, e.g., GenAI) to produce and evaluate programs. One question related to this ability is: Do these systems help in practice? We ran experiments with various LLMs to see if they could correctly identify problems with source code or determine that there were no problems. This webcast will provide background on our methods and a summary of our results.

What Will Attendees Learn?

• how well LLMs can evaluate source code

• evolution of capability as new LLMs are released

• how to address potential gaps in capability

… continue reading

174集单集

#Tech #Cybersecurity #Securecoding #Softwarearchitecture #Softwaredevelopment #Softwareengineering #Carnegie Mellon University Software Engineering Institute #SEI Members of Technical Staff #Video #Podcasting Education

Artwork

Using LLMs to Evaluate Code

Software Engineering Institute (SEI) Webcast Series

57 subscribers

published 2M ago

分享

MP4•单集首页

内容由Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff提供。所有播客内容（包括剧集、图形和播客描述）均由 Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品，您可以按照此处概述的流程进行操作https://zh.player.fm/legal。

Finding and fixing weaknesses and vulnerabilities in source code has been an ongoing challenge. There is a lot of excitement about the ability of large language models (LLMs, e.g., GenAI) to produce and evaluate programs. One question related to this ability is: Do these systems help in practice? We ran experiments with various LLMs to see if they could correctly identify problems with source code or determine that there were no problems. This webcast will provide background on our methods and a summary of our results.

What Will Attendees Learn?

• how well LLMs can evaluate source code

• evolution of capability as new LLMs are released

• how to address potential gaps in capability

… continue reading

174集单集

#Tech #Cybersecurity #Securecoding #Softwarearchitecture #Softwaredevelopment #Softwareengineering #Carnegie Mellon University Software Engineering Institute #SEI Members of Technical Staff #Video #Podcasting Education

所有剧集

×

欢迎使用Player FM

Player FM正在网上搜索高质量的播客，以便您现在享受。它是最好的播客应用程序，适用于安卓、iPhone和网络。注册以跨设备同步订阅。

收听超过500个主题

边探索边听这个节目