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Intro: Large Language Model LLM talk
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LLM Inference
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LLM Training
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LLM dreams
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How do they work?
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Finetuning into an Assistant
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Summary so far
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Appendix: Comparisons, Labeling docs, RLHF, Synthetic data, Leaderboard
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LLM Scaling Laws
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Tool Use Browser, Calculator, Interpreter, DALL-E
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Multimodality Vision, Audio
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Thinking, System 1/2
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Self-improvement, LLM AlphaGo
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LLM Customization, GPTs store
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LLM OS
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LLM Security Intro
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Jailbreaks
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Prompt Injection
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Data poisoning
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LLM Security conclusions
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Outro
Description:
Dive into a comprehensive one-hour talk introducing Large Language Models (LLMs), the core technology behind ChatGPT, Claude, and Bard. Explore their fundamental concepts, future trajectory, and comparisons to current operating systems. Gain insights into the security challenges posed by this emerging computing paradigm. Learn about LLM inference, training, and potential applications. Discover how LLMs are fine-tuned into assistants and examine scaling laws, tool use, multimodality, and self-improvement capabilities. Investigate the concept of an LLM operating system and delve into crucial security concerns, including jailbreaks, prompt injection, and data poisoning. Access accompanying slides for a deeper understanding of this rapidly evolving field.

Introduction to Large Language Models - Future and Security Challenges

Andrej Karpathy
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