[1hr Talk] Intro to Large Language Models

Summary

This is a 1 hour general-audience introduction to Large Language Models: the core technical component behind systems like ChatGPT, Claude, and Bard. What they are, where they are headed, comparisons and analogies to present-day operating systems, and some of the security-related challenges of this new computing paradigm. As of November 2023 (this field moves fast!).

Video Summary

• 39:24 🤖 Large Language Models: Step Two Challenges

  • Challenge of self-improvement beyond human response accuracy.
  • Lack of a reward criterion in open language modeling.
  • Exploration of customization through the GPT's App Store and possible future fine-tuning options.

• 41:02 🎨 Customization in Large Language Models

  • Introduction of GPT's App Store for customization.
  • Current customization levers: specific custom instructions and knowledge addition via file uploads.
  • Future possibilities, including fine-tuning and diverse language models for specific tasks.

• 42:26 ⚙️ Large Language Models as an Operating System

  • Viewing large language models as the kernel process of an emerging operating system.
  • Coordination of resources for problem-solving in diverse tasks.
  • Analogies drawn between the new llm OS and traditional computing systems.

• 45:51 🔐 Security Challenges in Large Language Models

  • Introduction to security challenges specific to large language models.
  • Illustration of jailbreak attacks using roleplay to deceive models.
  • Discussion on prompt injection attacks and the potential risks they pose.

• 56:31 ⚠️ Data Poisoning and Backdoor Attacks

  • Explanation of data poisoning or backdoor attacks on large language models.
  • Introduction of the concept of trigger phrases and their impact.
  • Demonstration of the James Bond trigger word corrupting model predictions.