Artwork

内容由Hugo Bowne-Anderson提供。所有播客内容(包括剧集、图形和播客描述)均由 Hugo Bowne-Anderson 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
Player FM -播客应用
使用Player FM应用程序离线!

Episode 36: Prompt Engineering, Security in Generative AI, and the Future of AI Research Part 1

1:03:46
 
分享
 

Manage episode 442882031 series 3317544
内容由Hugo Bowne-Anderson提供。所有播客内容(包括剧集、图形和播客描述)均由 Hugo Bowne-Anderson 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

Hugo speaks with three leading figures from the world of AI research: Sander Schulhoff, a recent University of Maryland graduate and lead contributor to the Learn Prompting initiative; Philip Resnik, professor at the University of Maryland, known for his pioneering work in computational linguistics; and Dennis Peskoff, a researcher from Princeton specializing in prompt engineering and its applications in the social sciences.

This is Part 1 of a special two-part episode, prompted—no pun intended—by these guys being part of a team, led by Sander, that wrote a 76-page survey analyzing prompting techniques, agents, and generative AI. The survey included contributors from OpenAI, Microsoft, the University of Maryland, Princeton, and more.

In this first part,

  • we’ll explore the critical role of prompt engineering,
  • & diving into adversarial techniques like prompt hacking and
  • the challenges of evaluating these techniques.
  • we’ll examine the impact of few-shot learning and
  • the groundbreaking taxonomy of prompting techniques from the Prompt Report.

Along the way,

  • we’ll uncover the rich history of natural language processing (NLP) and AI, showing how modern prompting techniques evolved from early rule-based systems and statistical methods.
  • we’ll also hear how Sander’s experimentation with GPT-3 for diplomatic tasks led him to develop Learn Prompting, and
  • how Dennis highlights the accessibility of AI through prompting, which allows non-technical users to interact with AI without needing to code.

Finally, we’ll explore the future of multimodal AI, where LLMs interact with images, code, and even music creation. Make sure to tune in to Part 2, where we dive deeper into security risks, prompt hacking, and more.

LINKS

  continue reading

42集单集

Artwork
icon分享
 
Manage episode 442882031 series 3317544
内容由Hugo Bowne-Anderson提供。所有播客内容(包括剧集、图形和播客描述)均由 Hugo Bowne-Anderson 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

Hugo speaks with three leading figures from the world of AI research: Sander Schulhoff, a recent University of Maryland graduate and lead contributor to the Learn Prompting initiative; Philip Resnik, professor at the University of Maryland, known for his pioneering work in computational linguistics; and Dennis Peskoff, a researcher from Princeton specializing in prompt engineering and its applications in the social sciences.

This is Part 1 of a special two-part episode, prompted—no pun intended—by these guys being part of a team, led by Sander, that wrote a 76-page survey analyzing prompting techniques, agents, and generative AI. The survey included contributors from OpenAI, Microsoft, the University of Maryland, Princeton, and more.

In this first part,

  • we’ll explore the critical role of prompt engineering,
  • & diving into adversarial techniques like prompt hacking and
  • the challenges of evaluating these techniques.
  • we’ll examine the impact of few-shot learning and
  • the groundbreaking taxonomy of prompting techniques from the Prompt Report.

Along the way,

  • we’ll uncover the rich history of natural language processing (NLP) and AI, showing how modern prompting techniques evolved from early rule-based systems and statistical methods.
  • we’ll also hear how Sander’s experimentation with GPT-3 for diplomatic tasks led him to develop Learn Prompting, and
  • how Dennis highlights the accessibility of AI through prompting, which allows non-technical users to interact with AI without needing to code.

Finally, we’ll explore the future of multimodal AI, where LLMs interact with images, code, and even music creation. Make sure to tune in to Part 2, where we dive deeper into security risks, prompt hacking, and more.

LINKS

  continue reading

42集单集

所有剧集

×
 
Loading …

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。

 

快速参考指南

边探索边听这个节目
播放