This is Part 2 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 episode, we cover:

• The Prompt Report: A comprehensive survey on prompting techniques, agents, and generative AI, including advanced evaluation methods for assessing these techniques.

• Security Risks and Prompt Hacking: A detailed exploration of the security concerns surrounding prompt engineering, including Sander’s thoughts on its potential applications in cybersecurity and military contexts.

• AI’s Impact Across Fields: A discussion on how generative AI is reshaping various domains, including the social sciences and security.

• Multimodal AI: Updates on how large language models (LLMs) are expanding to interact with images, code, and music.

• Case Study - Detecting Suicide Risk: A careful examination of how prompting techniques are being used in important areas like detecting suicide risk, showcasing the critical potential of AI in addressing sensitive, real-world challenges.

The episode concludes with a reflection on the evolving landscape of LLMs and multimodal AI, and what might be on the horizon.

If you haven’t yet, make sure to check out Part 1, where we discuss the history of NLP, prompt engineering techniques, and Sander’s development of the Learn Prompting initiative.

LINKS

• The livestream on YouTube
• The Prompt Report: A Systematic Survey of Prompting Techniques
• Learn Prompting: Your Guide to Communicating with AI
• Vanishing Gradients on Twitter
• Hugo on Twitter
• Vanishing Gradients' lu.ma calendar
• Vanishing Gradients on YouTube

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

• The livestream on YouTube
• The Prompt Report: A Systematic Survey of Prompting Techniques
• Learn Prompting: Your Guide to Communicating with AI
• Vanishing Gradients on Twitter
• Hugo on Twitter
• Vanishing Gradients' lu.ma calendar
• Vanishing Gradients on YouTube