THE VIDEO SHELF · large language models
[1hr Talk] Intro to Large Language Models
Andrej Karpathy gives a one-hour general-audience introduction to large language models, covering what they are, how they are trained, comparisons to operating systems, and security challenges such as jailbreaks.
Why HN readers recommended it
HN recommends it as the dense, approachable starting point for understanding LLMs and often cites it for specific claims about scaling and training.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- Andrej Karpathy
- Topic
- large language models
- Format
- talk
- Level
- intro
- HN recommenders in dataset
- 9
- HN mentions in dataset
- 20
- Recommendation years in dataset
- 2023–2026
These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.
From the original HN conversations
Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.
Andrej Karpathy's "Zero to Hero" series on YouTube is the ultimate guide to building LLMs. Extremely information-dense but as complete as it gets: [LINK] Also, an amazing high-level overview of LLMs, including extensive discussion about attack vectors, that he published a couple days ago: [VIDEO]
shrimpx on Hacker News · 2023-11
In Generative AI for BeginnersShort answer is No. I highly recommended watching Andrej Karpathy's Intro to LLMs talk, particularly the section on System 1 vs System 2 thinking. Long story short, what you are describing, using more processing to prepare a better response, is something that is an area …
FlyingAvatar on Hacker News · 2024-02
In Ask HN: Do LLMs get "better" with more processing power and or time per request?All of Andrej Karpathy's stuff on YouTube is absolutely top tier. He's a rare example of a brilliant contributor in his field who is an equally brilliant educator. Start with his short intro to LLMs, only 1 hour long but is dense with valuable stuff: …
mindwok on Hacker News · 2024-06
In Why has LLM progress seemingly stalled around the GPT-4 level? Or has it?
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.
